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[null,{"$f":"Title","v":{"$error":"#REF!"}}]
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[null,null,"This model was developed by WifOR research institute in commission from Novartis. The aim of the model is to estimate the Societal Impact of early intensified treatment in type 2 diabetic patients."]
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[null,1,"Introduction","Overview"]
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[null,2,"Model Structure"]
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[null,3,"Results","Results and Sensitivity Analyses"]
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[null,4,"Graphs"]
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[null,5,"DSA simulation"]
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[null,6,"PSA simulation"]
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[null,7,"Settings","  Data inputs"]
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[null,8,"Clinical inputs"]
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[null,9,"Event probabilities"]
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[null,10," Socioeconomic inputs"]
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[null,11,"Employment characteristics"]
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[null,14,"1st treatment failure"]
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[null,15,"2nd treatment failure"]
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[null,16,"Death rates"]
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[null,17,"Age-gender distribution"]
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[null,18,"Engine M+V"," Model calculations"]
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[null,19,"Engine M+P"]
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[null,20,"Engine M+V single patient"]
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[null,21,"Engine M+P single patient"]
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[null,22,"Health Outcome_Population"]
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[null,23,"Health Outcome_Single Patient"]
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[null,24,"Societal Impact_Population"]
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[null,25,"Societal Impact_Single Patient"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"MLR ID: 232665"]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Introduction",null,"Table of content","Results"]
[]
[null,"Objective"]
[null,"The objective of this model is to present a societal impact evaluation of early intensified treatment in type 2 diabetes mellitus (T2DM) patients."]
[null,"General model settings"]
[null,"Target Population: The population modelled is patients aged 20-69 years old with T2DM. The model is designed to consider specific age and gender subgroups."]
[null,"Time Horizon: The model is capable of calculating the clinical benefits, resource use and costs over three different time horizons: 5;10; and 15 years."]
[null,"Cycle Length: The cycle length of the model is set to 6 months."]
[null,"Comparators"]
[null,"The model is designed to compare the following strategies of treatment in T2DM:"]
[null,"Treatment Strategy","Description"]
[null,"Early intensified treatment group","Patients start with early intensified treatment (vildagliptin+metformin) until 1st treatment failure and remain on the same medication until the point in time of a 2nd treatment failure"]
[null,"The stepwise approach group","Patients start their treatment with metformin monotherapy until 1st treatment failure. Then, they transit to a combination therapy of metformin plus vildagliptin until they experience a 2nd treatment failure."]
[null,"Once patients had a 2nd treatment failure, we assume that 40% receive insulin and 60% sulfonylureas (SU) in both scenarios."]
[null,"Model Overview"]
[null,"First, a survival analysis was conducted to estimate the time to treatment failure. That is, the probabilities of patients experiencing a 1st and 2nd treatment failure. The analysis  was peformed using patient-level data from the VERIFY study. Second, a 4-state markov model was built to simulate (and compare) the individual disease progression in both treatment groups. Further, the 5-year incidence rates of diabetic complication events were converted into 6 month-event probabilities, to estimate the number of events per period in both treatment groups. Third, to simulate the health effects, and thus the societal impact within the target population of early intensified treatment, we built a static population model. Based on the results of the population model, we draw correlations between occuring number of events in the target population and potential productivity and activity impairments in the society. These impairments were translated into avoided paid and unpaid hours lost. We finally monetised these avoided losses using wages as a proxy for an individual's marginal productivity. "]
[null,"Model Outcomes                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            "]
[null,"1st Health Outcomes: Incremental difference in number of occuring complication events due to T2DM."]
[null,"2nd societal impact: Monetized number of avoided paid and unpaid productivity losses due to T2DM complication events. "]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["The Model",null,"Table of content","Results"]
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[null,"Model Structure"]
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[null,"The present study is designed to quantify the societal impact of early itensified antidiabetes treatment in TD2M patients in Mexico. The applied methodology consists of two consecutive steps: the calculation of the health and socioeconomic footprint. The health footprint addresses the question to what extent patients are positively affected by an improvement in therapeutic approach, such as early intensified antidiabetic treatment, when compared to the current standard therapy. The potential health benefit of early intenified treatment, i.e., positive incremental difference in the number of vascular events, is then used to answer the question on how severely the productivity and activity of a patient is impaired by the events. Finally, the quantified productivity and activity losses are translated into monetary values to depict the societal impact. In the current model, the health footprint consists of a survival analysis, a Markov model and a population model. The socioeconomic footprint consists of the avoided productivity and activity impairment induced by complication events with early intensified treatment, and the monetization of those avoided impairments. "]
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[null,"Survival analysis"]
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[null,"We conduct a survival analysis using patient-level data from the VERIFY clinical trial. The aim of the analysis is first to extrapolate the observed time to treatment failure beyond the study’s time horizon and second, to derive transition probabilities (of having a treatment failure) which are fed into the Markov model. In accordance with the VERIFY trial, the current study defines treatment failure as loss of glycemic control, that is not maintaining HBA1c levels below 7%.  By conducting the survival analysis, we assess five standard statistical distributions (exponential, Weibull, logLogistic, logNormal and Gomplertz) to parametrize the reported Kaplan Meier (KM) curves, that is the observerd time to treatment failure in the VERIFY trial. We evaluate these parametric models  according to their statistical performance. Specifically, we evaluate the goodness-of-fit (i.e., best fit to the observed survival data) visually and by using Akaike information criterion (AIC) and the Bayesian information criterion (BIC). The model that exhibits the lowest AIC and BIC is chosen as the best fit. As a result, we are first able to identify the most suitable parametric model for extrapoling the observed survival data,  and second, based on  the fitted parametric distributions, we derive transition probabilities for the Markov model. "]
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[null,"Markov model"]
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[null,"Once patients are diagnosed with T2DM, we evaluate two different treatment scenarios. In the comparator scenario patients start their treatment with metformin monotherapy until the 1st treatment failure (period 1). Then, they transit to a combination therapy of metformin plus vildagliptin until they experience a 2nd treatment failure (period 2). In the VERIFY study, 1st treatment failure was the primary endpoint, and it was defined as having HbA1c levels at least 7% at two consecutive scheduled visits 13 weeks apart from randomization. One of the secondary endpoints in the clinical trial was the 2nd treatment failure, which represents the progression of HbA1c after experiencing a 1st treatment failure assessed by threshold (HbA1c being at least 7%). In accordance with the VERIFY study, treatment failure is defined as loss of glycemic control, i.e., not maintaining HBA1c levels below 7%. After the 2nd treatment failure patients are either treated with insulin or SU. Once patients have a 2nd treatment failure, we assume that 40% receive insulin and 60% SU . In contrast, in the innovation scenario, patients start with early intensified treatment (vildagliptin+metformin) until the 1st treatment failure (period 1) and remain on the same medication until the point in time of a 2nd treatment failure (period 2). Similarly, to the comparator scenario, 40% of the patients are treated with insulin and 60% with SU after a 2nd treatment failure. In both scenarios and in all treatment states patients have a diabetes-adjusted probability to die. Each treatment state includes the probability of experiencing complication events. The complication events considered include stroke, myocardial infarction (MI), heart failure (HF), neuropathy and nephropathy."]
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[null,"Static cohort model"]
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[null,"To populate the model we consider epidemiological evidence and relevant population characteristics. We consider 10 subcohorts, namely male and female patients between an age of 20 and 29 years, 30 and 39 years, 40 and 49 years, 50 and 59 years and male and female patients between an age of 60 and 69 years."]
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[null,"Figure: Schematic representaion of the Markov model"]
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[null,"Socioeconomic Valuation"]
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[null,"To quantify the Societal Impact, we consider both paid and unpaid work activities. Hereby, the overarching question is to what extent individuals contribute to the wealth of an economy and how this contribution might be negatively affected by productivity and activity impairments due to poor health. Our methodology follows an interdependent calculation approach of paid work time loss, unpaid work time loss, and the monetary value from societal perspective associated with it. Based on the simulated outcomes of the health footprint model (i.e., the number of avoided complication events), we evaluate the avoided productivity losses, by drawing correlations between the number of avoided events and productivity/activity impairments. Thus, we consider the following productivity/ activity dimensions:\n• Absenteeism (i.e., being absent from work) after complication events.\n• Presenteeism (i.e., being present at work but with reduced work ability) after complication events.\n• Reduced labour force participation after complication events due to no return to work.\n• Activity Restriction (i.e., reduced ability to perform unpaid work activities) after complication events."]
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[null,"We finally monetize the avoided productivity and activity losses using wages to derive the Societal Impact."]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Results",null,"Table of content","Results"]
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[null,"User Setting"]
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[null,"Select time horizon","10 years"]
[null,"Select discounting","no"]
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[null,"Patients alive per age group over time"]
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[null,"Cycle","Months","Years","20-29","30-39","40-49","50-59",">60","Total"]
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[]
[null,"Incremental difference in no of events per treatment period | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Incremental difference in number of events per treatment period | Average patient"]
[]
[null,"Table 1a: Incremental difference in number of complication events","Both sexes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 1b: Incremental difference in number of complication events","Average female patient",null,null,null,"Average male patient"]
[null,null,"Period 1","Period 2","Insulin","SU","Total per complication",null,null,null,null,null,null,null,null,null,null,null,"Period 1","Period 2",null,null,"Period 1","Period 2"]
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[null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AA400:AA410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AA400:AA420),SUM('Health Outcome_Population'!AA400:AA430)))*-1","v":-6573.1789026996503},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AG400:AG410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AG400:AG420),SUM('Health Outcome_Population'!AG400:AG430)))*-1","v":2945.3352423353263},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AM400:AM410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AM400:AM420),SUM('Health Outcome_Population'!AM400:AM430)))*-1","v":6210.2318653543343},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AS400:AS410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AS400:AS420),SUM('Health Outcome_Population'!AS400:AS430)))*-1","v":4825.701485687302},{"$f":"SUM($C$52:$F$52)","v":7408.0896906773123},null,null,null,null,null,null,null,null,null,null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AA4:AA14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AA4:AA24),SUM('Health Outcome_Single Patient'!AA4:AA34)))*-1","v":-1.301777519413644E-2},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AG4:AG14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AG4:AG24),SUM('Health Outcome_Single Patient'!AG4:AG34)))*-1","v":5.8335360721258975E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AM4:AM14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AM4:AM24),SUM('Health Outcome_Single Patient'!AM4:AM34)))*-1","v":1.2300989808546535E-2},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AS4:AS14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AS4:AS24),SUM('Health Outcome_Single Patient'!AS4:AS34)))*-1","v":9.558564974955313E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AA37:AA47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AA37:AA57),SUM('Health Outcome_Single Patient'!AA37:AA67)))*-1","v":-1.2556467921957573E-2},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AG37:AG47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AG37:AG57),SUM('Health Outcome_Single Patient'!AG37:AG67)))*-1","v":5.5976138358048572E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AM37:AM47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AM37:AM57),SUM('Health Outcome_Single Patient'!AM37:AM67)))*-1","v":1.1676487105894525E-2},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AS37:AS47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AS37:AS57),SUM('Health Outcome_Single Patient'!AS37:AS67)))*-1","v":9.0732910455202237E-3}]
[null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AB400:AB410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AB400:AB420),SUM('Health Outcome_Population'!AB400:AB430)))*-1","v":293.98079205276531},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AH400:AH410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AH400:AH420),SUM('Health Outcome_Population'!AH400:AH430)))*-1","v":-843.04172608933993},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AN400:AN410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AN400:AN420),SUM('Health Outcome_Population'!AN400:AN430)))*-1","v":660.76843651454192},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Population'!AT400:AT410),IF($C$6=\"10 years\",SUM('Health Outcome_Population'!AT400:AT420),SUM('Health Outcome_Population'!AT400:AT430)))*-1","v":1127.8900796278199},{"$f":"SUM($C$53:$F$53)","v":1239.5975821057873},null,null,null,null,null,null,null,null,null,null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AB4:AB14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AB4:AB24),SUM('Health Outcome_Single Patient'!AB4:AB34)))*-1","v":5.8209178939162983E-4},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AH4:AH14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AH4:AH24),SUM('Health Outcome_Single Patient'!AH4:AH34)))*-1","v":-1.6698885418976424E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AN4:AN14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AN4:AN24),SUM('Health Outcome_Single Patient'!AN4:AN34)))*-1","v":1.3088248522119946E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AT4:AT14),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AT4:AT24),SUM('Health Outcome_Single Patient'!AT4:AT34)))*-1","v":2.2340815408300272E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AB37:AB47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AB37:AB57),SUM('Health Outcome_Single Patient'!AB37:AB67)))*-1","v":5.7841418109036598E-4},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AH37:AH47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AH37:AH57),SUM('Health Outcome_Single Patient'!AH37:AH67)))*-1","v":-1.5931158503248266E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AN37:AN47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AN37:AN57),SUM('Health Outcome_Single Patient'!AN37:AN67)))*-1","v":1.2423777881768216E-3},{"$f":"IF($C$6=\"5 years\",SUM('Health Outcome_Single Patient'!AT37:AT47),IF($C$6=\"10 years\",SUM('Health Outcome_Single Patient'!AT37:AT57),SUM('Health Outcome_Single Patient'!AT37:AT67)))*-1","v":2.1206605900034566E-3}]
[null,"Gross Total for both genders",{"$f":"SUM(C49:F53)","v":13467.233040873823},null,null,null,{"$f":"SUM(G49:G53)","v":13467.233040873822},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S49:V53)","v":2.6678047855675721E-2},null,null,null,{"$f":"SUM(W49:Z53)","v":2.5113717613153643E-2}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S54+W54","v":5.1791765468829368E-2}]
[]
[null,"Incremental difference in working hours | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Incremental difference in working hours | Average patient"]
[]
[]
[null,"Table 2a: Incremental difference in working hours - Absenteeism","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 2b: Incremental difference in working hours - Absenteeism","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
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[null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!L334:L344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!L334:L354),SUM('Societal Impact_Population'!L334:L364)))*-1","v":12791.263493787967},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!R334:R344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!R334:R354),SUM('Societal Impact_Population'!R334:R364)))*-1","v":-36541.988691528},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!X334:X344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!X334:X354),SUM('Societal Impact_Population'!X334:X364)))*-1","v":28442.209337426153},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AD334:AD344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AD334:AD354),SUM('Societal Impact_Population'!AD334:AD364)))*-1","v":48549.058916307229},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!L367:L377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!L367:L387),SUM('Societal Impact_Population'!L367:L397)))*-1","v":23768.849151023984},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!R367:R377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!R367:R387),SUM('Societal Impact_Population'!R367:R397)))*-1","v":-66147.151118777547},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!X367:X377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!X367:X387),SUM('Societal Impact_Population'!X367:X397)))*-1","v":51398.506483892859},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AD367:AD377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AD367:AD387),SUM('Societal Impact_Population'!AD367:AD397)))*-1","v":87734.011443800409},null,null,null,null,null,null,null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!L4:L14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!L4:L24),SUM('Societal Impact_Single Patient'!L4:L34)))*-1","v":5.6567492617948932E-2},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!R4:R14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!R4:R24),SUM('Societal Impact_Single Patient'!R4:R34)))*-1","v":-9.2004612529679619E-2},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!X4:X14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!X4:X24),SUM('Societal Impact_Single Patient'!X4:X34)))*-1","v":6.0918648763998252E-2},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AD4:AD14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AD4:AD24),SUM('Societal Impact_Single Patient'!AD4:AD34)))*-1","v":0.10398429435836562},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!L37:L47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!L37:L57),SUM('Societal Impact_Single Patient'!L37:L67)))*-1","v":0.12444498309696007},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!R37:R47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!R37:R57),SUM('Societal Impact_Single Patient'!R37:R67)))*-1","v":-0.22079178296094443},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!X37:X47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!X37:X57),SUM('Societal Impact_Single Patient'!X37:X67)))*-1","v":0.15208396668505292},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AD37:AD47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AD37:AD57),SUM('Societal Impact_Single Patient'!AD37:AD67)))*-1","v":0.25959774682842923}]
[null,"Total per period",{"$f":"SUM(C62:C66)","v":-457061.77720674255},{"$f":"SUM(D62:D66)","v":194815.2048610308},456052.8332945311,393558.8596882695,-832376.96012752992,353762.75987205526,824142.53516663983,711208.37912064744,null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S62:S66)","v":-1.3718314585467672},{"$f":"SUM(T62:T66)","v":0.56572882300517879},{"$f":"SUM(U62:U66)","v":0.97679199388840099},{"$f":"SUM(V62:V66)","v":0.84293992976703647},{"$f":"SUM(W62:W66)","v":-3.1860942199499003},{"$f":"SUM(X62:X66)","v":1.3185008388801502},{"$f":"SUM(Y62:Y66)","v":2.4385701927213921},{"$f":"SUM(Z62:Z66)","v":2.1044072840951324}]
[null,"Total (for females and males separately)",{"$f":"SUM(C62:F66)","v":587365.12063708878},null,null,null,{"$f":"SUM(G62:J66)","v":1056736.7140318127},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S62:V66)","v":1.0136292881138489},null,null,null,{"$f":"SUM(W62:Z66)","v":2.6753840957467752}]
[null,"Gross Total for both genders",{"$f":"C68+G68","v":1644101.8346689015},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S68+W68","v":3.6890133838606243}]
[]
[null,"Table 3a: Incremental difference in working hours - Presenteeism","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 3b: Incremental difference in working hours - Presenteeism","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
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[null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AI334:AI344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AI334:AI354),SUM('Societal Impact_Population'!AI334:AI364)))*-1","v":-700019.36823438515},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AO334:AO344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AO334:AO354),SUM('Societal Impact_Population'!AO334:AO364)))*-1","v":314274.64110982069},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AU334:AU344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AU334:AU354),SUM('Societal Impact_Population'!AU334:AU364)))*-1","v":655174.06826092477},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BA334:BA344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BA334:BA354),SUM('Societal Impact_Population'!BA334:BA364)))*-1","v":509107.31565900129},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AI367:AI377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AI367:AI387),SUM('Societal Impact_Population'!AI367:AI397)))*-1","v":-1275713.3350607494},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AO367:AO377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AO367:AO387),SUM('Societal Impact_Population'!AO367:AO397)))*-1","v":570491.02290622378},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AU367:AU377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AU367:AU387),SUM('Societal Impact_Population'!AU367:AU397)))*-1","v":1183978.6493405711},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BA367:BA377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BA367:BA387),SUM('Societal Impact_Population'!BA367:BA397)))*-1","v":920018.39078174974},null,null,null,null,null,null,null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AI4:AI14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AI4:AI24),SUM('Societal Impact_Single Patient'!AI4:AI34)))*-1","v":-2.134584799144557},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AO4:AO14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AO4:AO24),SUM('Societal Impact_Single Patient'!AO4:AO34)))*-1","v":0.89934593194718626},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AU4:AU14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AU4:AU24),SUM('Societal Impact_Single Patient'!AU4:AU34)))*-1","v":1.4032777295942269},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BA4:BA14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BA4:BA24),SUM('Societal Impact_Single Patient'!BA4:BA34)))*-1","v":1.0904261823641888},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AI37:AI47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AI37:AI57),SUM('Societal Impact_Single Patient'!AI37:AI67)))*-1","v":-4.9448037695938112},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AO37:AO47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AO37:AO57),SUM('Societal Impact_Single Patient'!AO37:AO67)))*-1","v":2.1020276613401934},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AU37:AU47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AU37:AU57),SUM('Societal Impact_Single Patient'!AU37:AU67)))*-1","v":3.5032957527385249},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BA37:BA47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BA37:BA57),SUM('Societal Impact_Single Patient'!BA37:BA67)))*-1","v":2.7222589889287048}]
[null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AJ334:AJ344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AJ334:AJ354),SUM('Societal Impact_Population'!AJ334:AJ364)))*-1","v":16898.680326793208},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AP334:AP344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AP334:AP354),SUM('Societal Impact_Population'!AP334:AP364)))*-1","v":-48276.027282474213},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AV334:AV344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AV334:AV354),SUM('Societal Impact_Population'!AV334:AV364)))*-1","v":37575.318780221889},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BB334:BB344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BB334:BB354),SUM('Societal Impact_Population'!BB334:BB364)))*-1","v":64138.70116832143},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AJ367:AJ377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AJ367:AJ387),SUM('Societal Impact_Population'!AJ367:AJ397)))*-1","v":31401.290711741687},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AP367:AP377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AP367:AP387),SUM('Societal Impact_Population'!AP367:AP397)))*-1","v":-87387.736311362751},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!AV367:AV377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!AV367:AV387),SUM('Societal Impact_Population'!AV367:AV397)))*-1","v":67903.138010387353},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BB367:BB377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BB367:BB387),SUM('Societal Impact_Population'!BB367:BB397)))*-1","v":115906.37734075412},null,null,null,null,null,null,null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AJ4:AJ14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AJ4:AJ24),SUM('Societal Impact_Single Patient'!AJ4:AJ34)))*-1","v":7.4731943025268061E-2},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AP4:AP14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AP4:AP24),SUM('Societal Impact_Single Patient'!AP4:AP34)))*-1","v":-0.12154831588643228},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AV4:AV14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AV4:AV24),SUM('Societal Impact_Single Patient'!AV4:AV34)))*-1","v":8.0480303755993243E-2},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BB4:BB14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BB4:BB24),SUM('Societal Impact_Single Patient'!BB4:BB34)))*-1","v":0.13737480665788529},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AJ37:AJ47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AJ37:AJ57),SUM('Societal Impact_Single Patient'!AJ37:AJ67)))*-1","v":0.16440564989142831},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AP37:AP47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AP37:AP57),SUM('Societal Impact_Single Patient'!AP37:AP67)))*-1","v":-0.29169047771173656},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!AV37:AV47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!AV37:AV57),SUM('Societal Impact_Single Patient'!AV37:AV67)))*-1","v":0.20091981820947549},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BB37:BB47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BB37:BB57),SUM('Societal Impact_Single Patient'!BB37:BB67)))*-1","v":0.34295746775444708}]
[null,"Total per period",{"$f":"SUM(C73:C77)","v":-891899.98512981308},{"$f":"SUM(D73:D77)","v":365820.06889004674},{"$f":"SUM(E73:E77)","v":791486.47485410713},{"$f":"SUM(F73:F77)","v":672632.86617147794},{"$f":"SUM(G73:G77)","v":-1625167.4795227379},{"$f":"SUM(H73:H77)","v":664120.90360470058},{"$f":"SUM(I73:I77)","v":1430311.6268879736},{"$f":"SUM(J73:J77)","v":1215528.8052008525},null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S73:S77)","v":-2.7109280288028552},{"$f":"SUM(T73:T77)","v":1.0509951820970382},{"$f":"SUM(U73:U77)","v":1.6952370327872628},{"$f":"SUM(V73:V77)","v":1.4406716734027727},{"$f":"SUM(W73:W77)","v":-6.2832034133441041},{"$f":"SUM(X73:X77)","v":2.454578688840205},{"$f":"SUM(Y73:Y77)","v":4.2321748372405077},{"$f":"SUM(Z73:Z77)","v":3.5966500772317271}]
[null,"Total (for females and males separately)",{"$f":"SUM(C73:F77)","v":938039.42478581867},null,null,null,{"$f":"SUM(G73:J77)","v":1684793.8561707889},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S73:V77)","v":1.4759758594842185},null,null,null,{"$f":"SUM(W73:Z77)","v":4.0002001899683366}]
[null,"Gross Total for both genders",{"$f":"C79+G79","v":2622833.2809566073},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S79+W79","v":5.4761760494525547}]
[]
[null,"Table 4a: Incremental difference in working hours - No return to work","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 4b: Incremental difference in working hours - No return to work","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
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[null,"HF",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BG334:BG344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BG334:BG354),SUM('Societal Impact_Population'!BG334:BG364)))*-1","v":-328309.45688489673},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BM334:BM344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BM334:BM354),SUM('Societal Impact_Population'!BM334:BM364)))*-1","v":94813.883043597234},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BS334:BS344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BS334:BS354),SUM('Societal Impact_Population'!BS334:BS364)))*-1","v":130036.79715699068},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BY334:BY344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BY334:BY354),SUM('Societal Impact_Population'!BY334:BY364)))*-1","v":166020.32398168341},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BG367:BG377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BG367:BG387),SUM('Societal Impact_Population'!BG367:BG397)))*-1","v":-589850.42842653918},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BM367:BM377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BM367:BM387),SUM('Societal Impact_Population'!BM367:BM397)))*-1","v":167229.16342773481},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BS367:BS377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BS367:BS387),SUM('Societal Impact_Population'!BS367:BS397)))*-1","v":221851.25589729863},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BY367:BY377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BY367:BY387),SUM('Societal Impact_Population'!BY367:BY397)))*-1","v":283241.49921461532},null,null,null,null,null,null,null,"HF",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BG4:BG14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BG4:BG24),SUM('Societal Impact_Single Patient'!BG4:BG34)))*-1","v":-1.0271482671488195},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BM4:BM14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BM4:BM24),SUM('Societal Impact_Single Patient'!BM4:BM34)))*-1","v":0.25222701126610791},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BS4:BS14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BS4:BS24),SUM('Societal Impact_Single Patient'!BS4:BS34)))*-1","v":0.26294302423154431},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BY4:BY14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BY4:BY24),SUM('Societal Impact_Single Patient'!BY4:BY34)))*-1","v":0.33570410088570707},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BG37:BG47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BG37:BG57),SUM('Societal Impact_Single Patient'!BG37:BG67)))*-1","v":-1.0011378889771263},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BM37:BM47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BM37:BM57),SUM('Societal Impact_Single Patient'!BM37:BM67)))*-1","v":0.24374331896705359},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BS37:BS47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BS37:BS57),SUM('Societal Impact_Single Patient'!BS37:BS67)))*-1","v":0.2517299731454174},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BY37:BY47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BY37:BY57),SUM('Societal Impact_Single Patient'!BY37:BY67)))*-1","v":0.32138819635066612}]
[null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BH334:BH344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BH334:BH354),SUM('Societal Impact_Population'!BH334:BH364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BN334:BN344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BN334:BN354),SUM('Societal Impact_Population'!BN334:BN364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BT334:BT344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BT334:BT354),SUM('Societal Impact_Population'!BT334:BT364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BZ334:BZ344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BZ334:BZ354),SUM('Societal Impact_Population'!BZ334:BZ364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BH367:BH377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BH367:BH387),SUM('Societal Impact_Population'!BH367:BH397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BN367:BN377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BN367:BN387),SUM('Societal Impact_Population'!BN367:BN397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BT367:BT377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BT367:BT387),SUM('Societal Impact_Population'!BT367:BT397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BZ367:BZ377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BZ367:BZ387),SUM('Societal Impact_Population'!BZ367:BZ397)))*-1","v":0},null,null,null,null,null,null,null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BH4:BH14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BH4:BH24),SUM('Societal Impact_Single Patient'!BH4:BH34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BN4:BN14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BN4:BN24),SUM('Societal Impact_Single Patient'!BN4:BN34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BT4:BT14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BT4:BT24),SUM('Societal Impact_Single Patient'!BT4:BT34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BZ4:BZ14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BZ4:BZ24),SUM('Societal Impact_Single Patient'!BZ4:BZ34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BH37:BH47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BH37:BH57),SUM('Societal Impact_Single Patient'!BH37:BH67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BN37:BN47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BN37:BN57),SUM('Societal Impact_Single Patient'!BN37:BN67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BT37:BT47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BT37:BT57),SUM('Societal Impact_Single Patient'!BT37:BT67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BZ37:BZ47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BZ37:BZ57),SUM('Societal Impact_Single Patient'!BZ37:BZ67)))*-1","v":0}]
[null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BI334:BI344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BI334:BI354),SUM('Societal Impact_Population'!BI334:BI364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BO334:BO344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BO334:BO354),SUM('Societal Impact_Population'!BO334:BO364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BU334:BU344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BU334:BU354),SUM('Societal Impact_Population'!BU334:BU364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CA334:CA344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CA334:CA354),SUM('Societal Impact_Population'!CA334:CA364)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BI367:BI377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BI367:BI387),SUM('Societal Impact_Population'!BI367:BI397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BO367:BO377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BO367:BO387),SUM('Societal Impact_Population'!BO367:BO397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!BU367:BU377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!BU367:BU387),SUM('Societal Impact_Population'!BU367:BU397)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CA367:CA377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CA367:CA387),SUM('Societal Impact_Population'!CA367:CA397)))*-1","v":0},null,null,null,null,null,null,null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BI4:BI14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BI4:BI24),SUM('Societal Impact_Single Patient'!BI4:BI34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BO4:BO14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BO4:BO24),SUM('Societal Impact_Single Patient'!BO4:BO34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BU4:BU14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BU4:BU24),SUM('Societal Impact_Single Patient'!BU4:BU34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CA4:CA14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CA4:CA24),SUM('Societal Impact_Single Patient'!CA4:CA34)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BI37:BI47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BI37:BI57),SUM('Societal Impact_Single Patient'!BI37:BI67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BO37:BO47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BO37:BO57),SUM('Societal Impact_Single Patient'!BO37:BO67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!BU37:BU47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!BU37:BU57),SUM('Societal Impact_Single Patient'!BU37:BU67)))*-1","v":0},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CA37:CA47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CA37:CA57),SUM('Societal Impact_Single Patient'!CA37:CA67)))*-1","v":0}]
[null,"Total per period",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S84:S88)","v":-0.82437542598319313},{"$f":"SUM(T84:T88)","v":0.83734656343616443},0.51946012508751283,0.48656495665356742,-0.79945042779970554,{"$f":"SUM(X84:X88)","v":0.80949752587676393},{"$f":"SUM(Y84:Y88)","v":0.49730805264963363},{"$f":"SUM(Z84:Z88)","v":0.46581567938477314}]
[null,"Total (for females and males separately)",{"$f":"SUM(C84:F88)","v":516549.63572614471},null,null,null,{"$f":"SUM(G84:J88)","v":879972.27583541255},null,null,null,null,null,null,null,null,null,null,"Total for males and females separately",{"$f":"+W90","v":0.97317083011146521},null,null,null,{"$f":"SUM(W84:Z88)","v":0.97317083011146521}]
[null,"Gross Total for both genders",{"$f":"C90+G90","v":1396521.9115615573},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S90+W90","v":1.9463416602229304}]
[]
[null,"Table 5a: Incremental difference in working hours - Activity Restriction","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 5b: Incremental difference in working hours - Activity Restriction","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
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[null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CG334:CG344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CG334:CG354),SUM('Societal Impact_Population'!CG334:CG364)))*-1","v":-2921983.8596663312},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CM334:CM344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CM334:CM354),SUM('Societal Impact_Population'!CM334:CM364)))*-1","v":1311870.5089799564},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CS334:CS344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CS334:CS354),SUM('Societal Impact_Population'!CS334:CS364)))*-1","v":2764306.1904660068},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CY334:CY344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CY334:CY354),SUM('Societal Impact_Population'!CY334:CY364)))*-1","v":2148022.2927981275},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CG367:CG377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CG367:CG387),SUM('Societal Impact_Population'!CG367:CG397)))*-1","v":-936601.61655873165},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CM367:CM377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CM367:CM387),SUM('Societal Impact_Population'!CM367:CM397)))*-1","v":418687.24816684006},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CS367:CS377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CS367:CS387),SUM('Societal Impact_Population'!CS367:CS397)))*-1","v":879062.88999958895},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CY367:CY377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CY367:CY387),SUM('Societal Impact_Population'!CY367:CY397)))*-1","v":683081.59602693829},null,null,null,null,null,null,null,"Neuropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CG4:CG14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CG4:CG24),SUM('Societal Impact_Single Patient'!CG4:CG34)))*-1","v":-9.7045350906426027},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CM4:CM14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CM4:CM24),SUM('Societal Impact_Single Patient'!CM4:CM34)))*-1","v":4.2977795589933869},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CS4:CS14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CS4:CS24),SUM('Societal Impact_Single Patient'!CS4:CS34)))*-1","v":8.6227313512744654},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CY4:CY14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CY4:CY24),SUM('Societal Impact_Single Patient'!CY4:CY34)))*-1","v":6.7003500665837823},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CG37:CG47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CG37:CG57),SUM('Societal Impact_Single Patient'!CG37:CG67)))*-1","v":-3.877613927370497},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CM37:CM47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CM37:CM57),SUM('Societal Impact_Single Patient'!CM37:CM67)))*-1","v":1.7466552785068394},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CS37:CS47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CS37:CS57),SUM('Societal Impact_Single Patient'!CS37:CS67)))*-1","v":3.7988036208203044},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CY37:CY47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CY37:CY57),SUM('Societal Impact_Single Patient'!CY37:CY67)))*-1","v":2.9518853199502701}]
[null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CH334:CH344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CH334:CH354),SUM('Societal Impact_Population'!CH334:CH364)))*-1","v":113732.88525091359},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CN334:CN344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CN334:CN354),SUM('Societal Impact_Population'!CN334:CN364)))*-1","v":-329332.75042463536},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CT334:CT344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CT334:CT354),SUM('Societal Impact_Population'!CT334:CT364)))*-1","v":257916.44523238935},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CZ334:CZ344),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CZ334:CZ354),SUM('Societal Impact_Population'!CZ334:CZ364)))*-1","v":440247.11816585338},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CH367:CH377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CH367:CH387),SUM('Societal Impact_Population'!CH367:CH397)))*-1","v":37214.928309014838},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CN367:CN377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CN367:CN387),SUM('Societal Impact_Population'!CN367:CN397)))*-1","v":-104841.8495851943},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CT367:CT377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CT367:CT387),SUM('Societal Impact_Population'!CT367:CT397)))*-1","v":82018.69116611268},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Population'!CZ367:CZ377),IF($C$6=\"10 years\",SUM('Societal Impact_Population'!CZ367:CZ387),SUM('Societal Impact_Population'!CZ367:CZ397)))*-1","v":140000.73701807414},null,null,null,null,null,null,null,"Nephropathy",{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CH4:CH14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CH4:CH24),SUM('Societal Impact_Single Patient'!CH4:CH34)))*-1","v":0.41430866389721138},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CN4:CN14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CN4:CN24),SUM('Societal Impact_Single Patient'!CN4:CN34)))*-1","v":-1.0538396869466677},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CT4:CT14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CT4:CT24),SUM('Societal Impact_Single Patient'!CT4:CT34)))*-1","v":0.80452166477971643},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CZ4:CZ14),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CZ4:CZ24),SUM('Societal Impact_Single Patient'!CZ4:CZ34)))*-1","v":1.3732677809750833},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CH37:CH47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CH37:CH57),SUM('Societal Impact_Single Patient'!CH37:CH67)))*-1","v":0.14470183743122145},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CN37:CN47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CN37:CN57),SUM('Societal Impact_Single Patient'!CN37:CN67)))*-1","v":-0.44473909824910407},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CT37:CT47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CT37:CT57),SUM('Societal Impact_Single Patient'!CT37:CT67)))*-1","v":0.35443755449273595},{"$f":"IF($C$6=\"5 years\",SUM('Societal Impact_Single Patient'!CZ37:CZ47),IF($C$6=\"10 years\",SUM('Societal Impact_Single Patient'!CZ37:CZ57),SUM('Societal Impact_Single Patient'!CZ37:CZ67)))*-1","v":0.60500256893112614}]
[null,"Total per period",{"$f":"SUM(C95:C99)","v":-4498718.038143347},{"$f":"SUM(D95:D99)","v":2204225.8234878937},{"$f":"SUM(E95:E99)","v":4126105.0410264009},{"$f":"SUM(F95:F99)","v":3729165.1064263098},{"$f":"SUM(G95:G99)","v":-1440969.5913709255},{"$f":"SUM(H95:H99)","v":703453.45638291503},{"$f":"SUM(I95:I99)","v":1312121.5856319747},{"$f":"SUM(J95:J99)","v":1185892.744822202},null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S95:S99)","v":-14.891481423104299},{"$f":"SUM(T95:T99)","v":7.2182188221401367},{"$f":"SUM(U95:U99)","v":12.870605802865917},{"$f":"SUM(V95:V99)","v":11.63242660605558},{"$f":"SUM(W95:W99)","v":-5.978482187174639},{"$f":"SUM(X95:X99)","v":2.9355015614739992},{"$f":"SUM(Y95:Y99)","v":5.6702339356602298},{"$f":"SUM(Z95:Z99)","v":5.1247455718864634}]
[null,"Total (for males and females separately)",{"$f":"SUM(C95:F99)","v":5560777.9327972578},null,null,null,{"$f":"SUM(G95:J99)","v":1760498.1954661659},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S95:V99)","v":16.82976980795733},null,null,null,{"$f":"SUM(W95:Z99)","v":7.7519988818460526}]
[null,"Gross Total for both genders",{"$f":"C101+G101","v":7321276.1282634232},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S101+W101","v":24.581768689803383}]
[]
[null,"Table 6a: Summary of results for each gender and per productivity parameter","Abesenteeism","Presenteeism","No return to work","Activity restriction",null,"SUM",null,null,null,null,null,null,null,null,null,"Table 6b: Summary of results for each gender and per productivity parameter","Abesenteeism","Presenteeism","No return to work","Activity restriction",null,"SUM"]
[null,"Female",{"$f":"C68","v":587365.12063708878},{"$f":"C79","v":938039.42478581867},{"$f":"C90","v":516549.63572614471},{"$f":"C101","v":5560777.9327972578},null,{"$f":"SUM(C105:F105)","v":7602732.1139463102},null,null,null,null,null,null,null,null,null,"Female",{"$f":"S68","v":1.0136292881138489},{"$f":"S79","v":1.4759758594842185},{"$f":"S90","v":0.97317083011146521},{"$f":"S101","v":16.82976980795733},null,{"$f":"SUM(S105:V105)","v":20.292545785666864}]
[null,"Male",{"$f":"G68","v":1056736.7140318127},{"$f":"G79","v":1684793.8561707889},{"$f":"G90","v":879972.27583541255},{"$f":"G101","v":1760498.1954661659},null,{"$f":"SUM(C106:F106)","v":5382001.0415041801},null,null,null,null,null,null,null,null,null,"Male",{"$f":"W68","v":2.6753840957467752},{"$f":"W79","v":4.0002001899683366},{"$f":"W90","v":0.97317083011146521},{"$f":"W101","v":7.7519988818460526},null,{"$f":"SUM(S106:V106)","v":15.400753997672631}]
[null,null,null,null,null,null,"Gross total for both genders",{"$f":"SUM(H105:H106)","v":12984733.155450489},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"SUM(X105:X106)","v":35.693299783339498}]
[null,"Table 7a: Summary of results for each gender and per paid/unpaid activity","Paid Work","Unpaid Work",null,"SUM",null,null,null,null,null,null,null,null,null,null,null,"Table 7b: Summary of results for each gender and per paid/unpaid activity","Paid Work","Unpaid Work",null,"SUM"]
[null,"Female",{"$f":"(C68+C79+C90)","v":2041954.1811490522},{"$f":"C101","v":5560777.9327972578},null,{"$f":"C109+D109","v":7602732.1139463102},null,null,null,null,null,null,null,null,null,null,null,"Female",{"$f":"(S68+S79+S90)","v":3.4627759777095326},{"$f":"S101","v":16.82976980795733},null,{"$f":"S109+T109","v":20.292545785666864}]
[null,"Male",{"$f":"(G68+G79+G90)","v":3621502.8460380142},{"$f":"G101","v":1760498.1954661659},null,{"$f":"C110+D110","v":5382001.0415041801},"Gross total for both genders",{"$f":"F109+F110","v":12984733.155450489},null,null,null,null,null,null,null,null,null,"Male",{"$f":"(W68+W79+W90)","v":7.6487551158265772},{"$f":"W101","v":7.7519988818460526},null,{"$f":"S110+T110","v":15.400753997672631},"Gross total for both genders",{"$f":"V109+V110","v":35.693299783339498}]
[]
[null,"Monetized avoided productivity and activity loss | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Monetized avoided productivity and activity loss | Average patient"]
[]
[null,"Table 8a: Monetized avoided productivity loss - Absenteeism and Presenteeism","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 8b: Monetized avoided productivity loss - Absenteeism and Presenteeism","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
[null,"Stroke",{"$f":"(C62+C73)*'Socioeconomic inputs'!$I$99","v":215773.90793587372},{"$f":"(D62+D73)*'Socioeconomic inputs'!$I$99","v":91021.022513408228},{"$f":"(E62+E73)*'Socioeconomic inputs'!$I$99","v":37799.344663177086},{"$f":"(F62+F73)*'Socioeconomic inputs'!$I$99","v":56699.016994765632},{"$f":"(G62+G73)*'Socioeconomic inputs'!$I$99","v":395770.49900302204},{"$f":"(H62+H73)*'Socioeconomic inputs'!$I$99","v":165248.32910631481},{"$f":"(I62+I73)*'Socioeconomic inputs'!$I$99","v":68307.979830550772},{"$f":"(J62+J73)*'Socioeconomic inputs'!$I$99","v":102461.96974582615},null,null,null,null,null,null,null,"Stroke",{"$f":"(S62+S73)*'Socioeconomic inputs'!$I$99","v":0.7555280602589437},{"$f":"(T62+T73)*'Socioeconomic inputs'!$I$99","v":0.2619063029445583},{"$f":"(U62+U73)*'Socioeconomic inputs'!$I$99","v":8.0960131251666539E-2},{"$f":"(V62+V73)*'Socioeconomic inputs'!$I$99","v":0.1214401968774998},{"$f":"(W62+W73)*'Socioeconomic inputs'!$I$99","v":1.713560182071002},{"$f":"(X62+X73)*'Socioeconomic inputs'!$I$99","v":0.6114927193510461},{"$f":"(Y62+Y73)*'Socioeconomic inputs'!$I$99","v":0.20211771196364023},{"$f":"(Z62+Z73)*'Socioeconomic inputs'!$I$99","v":0.30317656794546033}]
[null,"MI",{"$f":"(C63+C74)*'Socioeconomic inputs'!$I$99","v":-313445.86516548949},{"$f":"(D63+D74)*'Socioeconomic inputs'!$I$99","v":485482.694878485},{"$f":"(E63+E74)*'Socioeconomic inputs'!$I$99","v":303525.21123273321},{"$f":"(F63+F74)*'Socioeconomic inputs'!$I$99","v":109306.46391604208},{"$f":"(G63+G74)*'Socioeconomic inputs'!$I$99","v":-569100.82699683693},{"$f":"(H63+H74)*'Socioeconomic inputs'!$I$99","v":880368.27116820915},{"$f":"(I63+I74)*'Socioeconomic inputs'!$I$99","v":548506.70538600138},{"$f":"(J63+J74)*'Socioeconomic inputs'!$I$99","v":197529.97833847252},null,null,null,null,null,null,null,"MI",{"$f":"(S63+S74)*'Socioeconomic inputs'!$I$99","v":-0.87443958998481797},{"$f":"(T63+T74)*'Socioeconomic inputs'!$I$99","v":1.3278345313628512},{"$f":"(U63+U74)*'Socioeconomic inputs'!$I$99","v":0.65010230094096177},{"$f":"(V63+V74)*'Socioeconomic inputs'!$I$99","v":0.23411690716212824},{"$f":"(W63+W74)*'Socioeconomic inputs'!$I$99","v":-2.0562038394606699},{"$f":"(X63+X74)*'Socioeconomic inputs'!$I$99","v":3.1316500032813184},{"$f":"(Y63+Y74)*'Socioeconomic inputs'!$I$99","v":1.6229863709093271},{"$f":"(Z63+Z74)*'Socioeconomic inputs'!$I$99","v":0.58447501104612276}]
[null,"HF",{"$f":"(C64+C75)*'Socioeconomic inputs'!$I$99","v":-1985543.3182059277},{"$f":"(D64+D75)*'Socioeconomic inputs'!$I$99","v":566773.4882403618},{"$f":"(E64+E75)*'Socioeconomic inputs'!$I$99","v":754506.27936693421},{"$f":"(F64+F75)*'Socioeconomic inputs'!$I$99","v":963291.77344690461},{"$f":"(G64+G75)*'Socioeconomic inputs'!$I$99","v":-3625183.8554509515},{"$f":"(H64+H75)*'Socioeconomic inputs'!$I$99","v":1027779.9832000874},{"$f":"(I64+I75)*'Socioeconomic inputs'!$I$99","v":1363483.9485253796},{"$f":"(J64+J75)*'Socioeconomic inputs'!$I$99","v":1740784.5458137637},null,null,null,null,null,null,null,"HF",{"$f":"(S64+S75)*'Socioeconomic inputs'!$I$99","v":-6.3127890322216889},{"$f":"(T64+T75)*'Socioeconomic inputs'!$I$99","v":1.550171441919054},{"$f":"(U64+U75)*'Socioeconomic inputs'!$I$99","v":1.616031387635684},{"$f":"(V64+V75)*'Socioeconomic inputs'!$I$99","v":2.0632164157037796},{"$f":"(W64+W75)*'Socioeconomic inputs'!$I$99","v":-14.526727219973917},{"$f":"(X64+X75)*'Socioeconomic inputs'!$I$99","v":3.6560236132658748},{"$f":"(Y64+Y75)*'Socioeconomic inputs'!$I$99","v":4.0344372159553226},{"$f":"(Z64+Z75)*'Socioeconomic inputs'!$I$99","v":5.1508387496504549}]
[null,"Neuropathy",{"$f":"(C65+C76)*'Socioeconomic inputs'!$I$99","v":-8736329.7708729915},{"$f":"(D65+D76)*'Socioeconomic inputs'!$I$99","v":3922187.0535999923},{"$f":"(E65+E76)*'Socioeconomic inputs'!$I$99","v":8176654.7861221517},{"$f":"(F65+F76)*'Socioeconomic inputs'!$I$99","v":6353723.3399401428},{"$f":"(G65+G76)*'Socioeconomic inputs'!$I$99","v":-15921062.893304454},{"$f":"(H65+H76)*'Socioeconomic inputs'!$I$99","v":7119799.7278307481},{"$f":"(I65+I76)*'Socioeconomic inputs'!$I$99","v":14776202.476227347},{"$f":"(J65+J76)*'Socioeconomic inputs'!$I$99","v":11481945.245900776},null,null,null,null,null,null,null,"Neuropathy",{"$f":"(S65+S76)*'Socioeconomic inputs'!$I$99","v":-26.639886802354219},{"$f":"(T65+T76)*'Socioeconomic inputs'!$I$99","v":11.223950359260618},{"$f":"(U65+U76)*'Socioeconomic inputs'!$I$99","v":17.513082583384033},{"$f":"(V65+V76)*'Socioeconomic inputs'!$I$99","v":13.608655920414444},{"$f":"(W65+W76)*'Socioeconomic inputs'!$I$99","v":-61.711773050489477},{"$f":"(X65+X76)*'Socioeconomic inputs'!$I$99","v":26.23356962719938},{"$f":"(Y65+Y76)*'Socioeconomic inputs'!$I$99","v":43.72157167310661},{"$f":"(Z65+Z76)*'Socioeconomic inputs'!$I$99","v":33.974134614288864}]
[null,"Nephropathy",{"$f":"(C66+C77)*'Socioeconomic inputs'!$I$99","v":233004.23388627369},{"$f":"(D66+D77)*'Socioeconomic inputs'!$I$99","v":-665644.80388394534},{"$f":"(E66+E77)*'Socioeconomic inputs'!$I$99","v":518100.1235662495},{"$f":"(F66+F77)*'Socioeconomic inputs'!$I$99","v":884364.26035531447},{"$f":"(G66+G77)*'Socioeconomic inputs'!$I$99","v":432970.71391597716},{"$f":"(H66+H77)*'Socioeconomic inputs'!$I$99","v":-1204929.1516569408},{"$f":"(I66+I77)*'Socioeconomic inputs'!$I$99","v":936269.48049301526},{"$f":"(J66+J77)*'Socioeconomic inputs'!$I$99","v":1598152.9996751351},null,null,null,null,null,null,null,"Nephropathy",{"$f":"(S66+S77)*'Socioeconomic inputs'!$I$99","v":1.0304271573104316},{"$f":"(T66+T77)*'Socioeconomic inputs'!$I$99","v":-1.6759457943222333},{"$f":"(U66+U77)*'Socioeconomic inputs'!$I$99","v":1.1096873339788382},{"$f":"(V66+V77)*'Socioeconomic inputs'!$I$99","v":1.8941663468149481},{"$f":"(W66+W77)*'Socioeconomic inputs'!$I$99","v":2.2668759784034913},{"$f":"(X66+X77)*'Socioeconomic inputs'!$I$99","v":-4.0219185745163939},{"$f":"(Y66+Y77)*'Socioeconomic inputs'!$I$99","v":2.770344631008955},{"$f":"(Z66+Z77)*'Socioeconomic inputs'!$I$99","v":4.7288036985350574}]
[null,"Total per period",{"$f":"SUM(C116:C120)","v":-10586540.812422263},{"$f":"SUM(D116:D120)","v":4399819.4553483017},{"$f":"SUM(E116:E120)","v":9790585.7449512463},{"$f":"SUM(F116:F120)","v":8367384.8546531694},{"$f":"SUM(G116:G120)","v":-19286606.362833243},{"$f":"SUM(H116:H120)","v":7988267.1596484184},{"$f":"SUM(I116:I120)","v":17692770.590462293},{"$f":"SUM(J116:J120)","v":15120874.739473972},null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S116:S120)","v":-32.04116020699135},12.687916841164848,20.969863737191183,17.921595786972802,-74.314267949449572,29.610817388581221,52.351457602943853,44.741428641465959]
[null,"Total (for females and males separately)",{"$f":"SUM(C116:F120)","v":11971249.242530454},null,null,null,{"$f":"SUM(G116:J120)","v":21515306.126751445},null,null,null,null,null,null,null,null,null,null,"Total (for females and males separately)",{"$f":"SUM(S116:V120)","v":19.53821615833748},null,null,null,{"$f":"SUM(W116:Z120)","v":52.389435683541471}]
[null,"Gross Total for both genders",{"$f":"C122+G122","v":33486555.369281899},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross Total for both genders",{"$f":"S122+W122","v":71.927651841878955}]
[]
[null,"Table 9a: Monetized avoided productivity loss - No return to work","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 9b: Monetzied avoided productivity loss - No return to work","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
[null,"Stroke",{"$f":"C84*'Socioeconomic inputs'!$I$99","v":1080638.0535928765},{"$f":"D84*'Socioeconomic inputs'!$I$99","v":462394.56764416542},{"$f":"E84*'Socioeconomic inputs'!$I$99","v":199127.62987921681},{"$f":"F84*'Socioeconomic inputs'!$I$99","v":298691.44481882517},{"$f":"G84*'Socioeconomic inputs'!$I$99","v":1968335.5167199252},{"$f":"H84*'Socioeconomic inputs'!$I$99","v":821850.43119168608},{"$f":"I84*'Socioeconomic inputs'!$I$99","v":339724.72206634772},{"$f":"J84*'Socioeconomic inputs'!$I$99","v":509587.08309952141},null,null,null,null,null,null,null,"Stroke",{"$f":"S84*'Socioeconomic inputs'!$I$99","v":3.757563331861264},{"$f":"T84*'Socioeconomic inputs'!$I$99","v":1.3025717668123771},{"$f":"U84*'Socioeconomic inputs'!$I$99","v":0.40264926815514157},{"$f":"V84*'Socioeconomic inputs'!$I$99","v":0.60397390223271219},{"$f":"W84*'Socioeconomic inputs'!$I$99","v":3.6793579708591189},{"$f":"X84*'Socioeconomic inputs'!$I$99","v":1.2612335231619236},{"$f":"Y84*'Socioeconomic inputs'!$I$99","v":0.38547852621661627},{"$f":"Z84*'Socioeconomic inputs'!$I$99","v":0.5782177893249244}]
[null,"MI",{"$f":"C85*'Socioeconomic inputs'!$I$99","v":-797769.05630418193},{"$f":"D85*'Socioeconomic inputs'!$I$99","v":1236507.6329421536},{"$f":"E85*'Socioeconomic inputs'!$I$99","v":796450.55135041149},{"$f":"F85*'Socioeconomic inputs'!$I$99","v":286820.30431186478},{"$f":"G85*'Socioeconomic inputs'!$I$99","v":-1409813.6796582455},{"$f":"H85*'Socioeconomic inputs'!$I$99","v":2180905.6900859494},{"$f":"I85*'Socioeconomic inputs'!$I$99","v":1358796.5786627783},{"$f":"J85*'Socioeconomic inputs'!$I$99","v":489334.14325494081},null,null,null,null,null,null,null,"MI",{"$f":"S85*'Socioeconomic inputs'!$I$99","v":-2.1662187744496033},{"$f":"T85*'Socioeconomic inputs'!$I$99","v":3.2893982890809399},{"$f":"U85*'Socioeconomic inputs'!$I$99","v":1.610475813012592},{"$f":"V85*'Socioeconomic inputs'!$I$99","v":0.57996966916774895},{"$f":"W85*'Socioeconomic inputs'!$I$99","v":-2.0965313862046857},{"$f":"X85*'Socioeconomic inputs'!$I$99","v":3.1787588980279469},{"$f":"Y85*'Socioeconomic inputs'!$I$99","v":1.5417980163033695},{"$f":"Z85*'Socioeconomic inputs'!$I$99","v":0.55523720270362453}]
[null,"HF",{"$f":"C86*'Socioeconomic inputs'!$I$99","v":-2576545.5785758556},{"$f":"D86*'Socioeconomic inputs'!$I$99","v":744091.54540204455},{"$f":"E86*'Socioeconomic inputs'!$I$99","v":1020518.0744594715},{"$f":"F86*'Socioeconomic inputs'!$I$99","v":1302913.829432294},{"$f":"G86*'Socioeconomic inputs'!$I$99","v":-4629097.5831265738},{"$f":"H86*'Socioeconomic inputs'!$I$99","v":1312400.7018467668},{"$f":"I86*'Socioeconomic inputs'!$I$99","v":1741070.3849572276},{"$f":"J86*'Socioeconomic inputs'!$I$99","v":2222855.958506464},null,null,null,null,null,null,null,"HF",{"$f":"S86*'Socioeconomic inputs'!$I$99","v":-8.0609750062484089},{"$f":"T86*'Socioeconomic inputs'!$I$99","v":1.9794568113916218},{"$f":"U86*'Socioeconomic inputs'!$I$99","v":2.063555198590187},{"$f":"V86*'Socioeconomic inputs'!$I$99","v":2.6345781356828231},{"$f":"W86*'Socioeconomic inputs'!$I$99","v":-7.8568477005312989},{"$f":"X86*'Socioeconomic inputs'!$I$99","v":1.9128774929323611},{"$f":"Y86*'Socioeconomic inputs'!$I$99","v":1.97555609715573},{"$f":"Z86*'Socioeconomic inputs'!$I$99","v":2.5222280959274785}]
[null,"Neuropathy",{"$f":"C87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"D87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"E87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"F87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"G87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"H87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"I87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"J87*'Socioeconomic inputs'!$I$99","v":0},null,null,null,null,null,null,null,"Neuropathy",{"$f":"S87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"T87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"U87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"V87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"W87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"X87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"Y87*'Socioeconomic inputs'!$I$99","v":0},{"$f":"Z87*'Socioeconomic inputs'!$I$99","v":0}]
[null,"Nephropathy",{"$f":"C88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"D88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"E88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"F88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"G88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"H88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"I88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"J88*'Socioeconomic inputs'!$I$99","v":0},null,null,null,null,null,null,null,"Nephropathy",{"$f":"S88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"T88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"U88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"V88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"W88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"X88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"Y88*'Socioeconomic inputs'!$I$99","v":0},{"$f":"Z88*'Socioeconomic inputs'!$I$99","v":0}]
[null,"Total per period",{"$f":"SUM(C127:C131)","v":-2293676.581287161},2442993.7459883634,2016096.2556890999,1888425.578562984,-4070575.7460648939,4315156.8231244022,3439591.6856863536,3221777.1848609261,null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S127:S131)","v":-6.4696304488367478},6.5714268672849379,4.0766802797579205,3.818521707083284,-6.2740211158768657,6.3528699141222322,3.902832639675716,3.6556830879560276]
[null,"Total (for females and males separately)",{"$f":"SUM(C127:F131)","v":4053838.9989532856},null,null,null,{"$f":"SUM(G127:J131)","v":6905949.9476067871},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S127:V131)","v":7.9969984052893945},null,null,null,{"$f":"SUM(W127:Z131)","v":7.6373645258771079}]
[null,"Gross Total for both genders",{"$f":"C133+G133","v":10959788.946560074},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S133+W133","v":15.634362931166503}]
[]
[null,"Table 10a: Monetized avoided activity loss - Unpaid Work","Female",null,null,null,"Male",null,null,null,null,null,null,null,null,null,null,"Table 1-b: Monetized avoided activity loss - Unpaid Work","Female",null,null,null,"Male"]
[null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU"]
[null,"Stroke",{"$f":"C95*'Socioeconomic inputs'!$I$100","v":582562.44570048293},{"$f":"D95*'Socioeconomic inputs'!$I$100","v":246423.84484138098},{"$f":"E95*'Socioeconomic inputs'!$I$100","v":103457.95506070452},{"$f":"F95*'Socioeconomic inputs'!$I$100","v":155186.93259105674},{"$f":"G95*'Socioeconomic inputs'!$I$100","v":188005.68669380076},{"$f":"H95*'Socioeconomic inputs'!$I$100","v":78656.038376624158},{"$f":"I95*'Socioeconomic inputs'!$I$100","v":32900.135767441468},{"$f":"J95*'Socioeconomic inputs'!$I$100","v":49350.203651162199},null,null,null,null,null,null,null,"Stroke",{"$f":"S95*'Socioeconomic inputs'!$I$100","v":1.9961445810052647},{"$f":"T95*'Socioeconomic inputs'!$I$100","v":0.80816639571706494},{"$f":"U95*'Socioeconomic inputs'!$I$100","v":0.32271756136041246},{"$f":"V95*'Socioeconomic inputs'!$I$100","v":0.48407634204061867},{"$f":"W95*'Socioeconomic inputs'!$I$100","v":0.76264731031169275},{"$f":"X95*'Socioeconomic inputs'!$I$100","v":0.32787874902972253},{"$f":"Y95*'Socioeconomic inputs'!$I$100","v":0.14217544194010356},{"$f":"Z95*'Socioeconomic inputs'!$I$100","v":0.2132631629101554}]
[null,"MI",{"$f":"C96*'Socioeconomic inputs'!$I$100","v":-397450.80567662389},{"$f":"D96*'Socioeconomic inputs'!$I$100","v":615611.25509507384},{"$f":"E96*'Socioeconomic inputs'!$I$100","v":388371.57237378589},{"$f":"F96*'Socioeconomic inputs'!$I$100","v":139861.60520004158},{"$f":"G96*'Socioeconomic inputs'!$I$100","v":-126900.97992533712},{"$f":"H96*'Socioeconomic inputs'!$I$100","v":196290.80288646134},{"$f":"I96*'Socioeconomic inputs'!$I$100","v":123504.0597101984},{"$f":"J96*'Socioeconomic inputs'!$I$100","v":44476.674577935824},null,null,null,null,null,null,null,"MI",{"$f":"S96*'Socioeconomic inputs'!$I$100","v":-1.2961107036777499},{"$f":"T96*'Socioeconomic inputs'!$I$100","v":1.9994815930242269},{"$f":"U96*'Socioeconomic inputs'!$I$100","v":1.2114518082697121},{"$f":"V96*'Socioeconomic inputs'!$I$100","v":0.4362718761609633},{"$f":"W96*'Socioeconomic inputs'!$I$100","v":-0.53150683490096684},{"$f":"X96*'Socioeconomic inputs'!$I$100","v":0.8239572719600009},{"$f":"Y96*'Socioeconomic inputs'!$I$100","v":0.5337134288689267},{"$f":"Z96*'Socioeconomic inputs'!$I$100","v":0.19220257657422896}]
[null,"HF",{"$f":"C97*'Socioeconomic inputs'!$I$100","v":-2281290.7990464913},{"$f":"D97*'Socioeconomic inputs'!$I$100","v":652858.10057993571},{"$f":"E97*'Socioeconomic inputs'!$I$100","v":876984.65517223522},{"$f":"F97*'Socioeconomic inputs'!$I$100","v":1119662.1245821894},{"$f":"G97*'Socioeconomic inputs'!$I$100","v":-732667.50663876254},{"$f":"H97*'Socioeconomic inputs'!$I$100","v":208167.15041048828},{"$f":"I97*'Socioeconomic inputs'!$I$100","v":278885.41006053879},{"$f":"J97*'Socioeconomic inputs'!$I$100","v":356058.032374617},null,null,null,null,null,null,null,"HF",{"$f":"S97*'Socioeconomic inputs'!$I$100","v":-7.6455900728125599},{"$f":"T97*'Socioeconomic inputs'!$I$100","v":2.1204579093745446},{"$f":"U97*'Socioeconomic inputs'!$I$100","v":2.7355880860164254},{"$f":"V97*'Socioeconomic inputs'!$I$100","v":3.4925746423343424},{"$f":"W97*'Socioeconomic inputs'!$I$100","v":-3.015647395982576},{"$f":"X97*'Socioeconomic inputs'!$I$100","v":0.87380985171844383},{"$f":"Y97*'Socioeconomic inputs'!$I$100","v":1.2051821520214845},{"$f":"Z97*'Socioeconomic inputs'!$I$100","v":1.5386777874418984}]
[null,"Neuropathy",{"$f":"C98*'Socioeconomic inputs'!$I$100","v":-3623259.9859862505},{"$f":"D98*'Socioeconomic inputs'!$I$100","v":1626719.4311351459},{"$f":"E98*'Socioeconomic inputs'!$I$100","v":3427739.6761778481},{"$f":"F98*'Socioeconomic inputs'!$I$100","v":2663547.643069678},{"$f":"G98*'Socioeconomic inputs'!$I$100","v":-1161386.0045328273},{"$f":"H98*'Socioeconomic inputs'!$I$100","v":519172.18772688165},{"$f":"I98*'Socioeconomic inputs'!$I$100","v":1090037.9835994903},{"$f":"J98*'Socioeconomic inputs'!$I$100","v":847021.17907340347},null,null,null,null,null,null,null,"Neuropathy",{"$f":"S98*'Socioeconomic inputs'!$I$100","v":-12.033623512396828},{"$f":"T98*'Socioeconomic inputs'!$I$100","v":5.3292466531517997},{"$f":"U98*'Socioeconomic inputs'!$I$100","v":10.692186875580337},{"$f":"V98*'Socioeconomic inputs'!$I$100","v":8.30843408256389},{"$f":"W98*'Socioeconomic inputs'!$I$100","v":-4.8082412699394164},{"$f":"X98*'Socioeconomic inputs'!$I$100","v":2.1658525453484807},{"$f":"Y98*'Socioeconomic inputs'!$I$100","v":4.7105164898171772},{"$f":"Z98*'Socioeconomic inputs'!$I$100","v":3.660337796738335}]
[null,"Nephropathy",{"$f":"C99*'Socioeconomic inputs'!$I$100","v":141028.77771113286},{"$f":"D99*'Socioeconomic inputs'!$I$100","v":-408372.61052654783},{"$f":"E99*'Socioeconomic inputs'!$I$100","v":319816.39208816277},{"$f":"F99*'Socioeconomic inputs'!$I$100","v":545906.42652565823},{"$f":"G99*'Socioeconomic inputs'!$I$100","v":46146.511103178396},{"$f":"H99*'Socioeconomic inputs'!$I$100","v":-130003.89348564093},{"$f":"I99*'Socioeconomic inputs'!$I$100","v":101703.17704597973},{"$f":"J99*'Socioeconomic inputs'!$I$100","v":173600.91390241194},null,null,null,null,null,null,null,"Nephropathy",{"$f":"S99*'Socioeconomic inputs'!$I$100","v":0.5137427432325421},{"$f":"T99*'Socioeconomic inputs'!$I$100","v":-1.3067612118138681},{"$f":"U99*'Socioeconomic inputs'!$I$100","v":0.99760686432684831},{"$f":"V99*'Socioeconomic inputs'!$I$100","v":1.7028520484091032},{"$f":"W99*'Socioeconomic inputs'!$I$100","v":0.17943027841471459},{"$f":"X99*'Socioeconomic inputs'!$I$100","v":-0.55147648182888909},{"$f":"Y99*'Socioeconomic inputs'!$I$100","v":0.4395025675709926},{"$f":"Z99*'Socioeconomic inputs'!$I$100","v":0.75020318547459641}]
[null,"Total per period",{"$f":"SUM(C138:C142)","v":-5578410.36729775},{"$f":"SUM(D138:D142)","v":2733240.0211249888},{"$f":"SUM(E138:E142)","v":5116370.2508727359},{"$f":"SUM(F138:F142)","v":4624164.7319686236},{"$f":"SUM(G138:G142)","v":-1786802.2932999479},{"$f":"SUM(H138:H142)","v":872282.28591481457},{"$f":"SUM(I138:I142)","v":1627030.7661836487},{"$f":"SUM(J138:J142)","v":1470507.0035795304},null,null,null,null,null,null,null,"Total per period",{"$f":"SUM(S138:S142)","v":-18.465436964649331},8.9505913394537693,15.959551195553734,14.424208991508916,-7.4133179120965522,3.6400219362277593,7.0310900802186849,6.3546845091392141]
[null,"Total (for females and males separately)",{"$f":"SUM(C138:F142)","v":6895364.6366685983},null,null,null,{"$f":"SUM(G138:J142)","v":2183017.7623780454},null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S138:V142)","v":20.868914561867086},null,null,null,{"$f":"SUM(W138:Z142)","v":9.612478613489106}]
[null,"Gross Total for both genders",{"$f":"C144+G144","v":9078382.3990466446},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S144+W144","v":30.481393175356192}]
[]
[null,"Table 11a: Total Societal Impact per gender and activity","Paid Work","Unpaid Work",null,"Total Societal Impact per gender and per treatment period","Period 1","Period 2","Insulin/SU",null,null,null,null,null,null,null,null,"Table 11b: Total Societal Impact per gender and activity","Paid Work","Unpaid Work",null,"Total Societal Impact per gender and per treatment period","Period 1","Period 2","Insulin / SU"]
[null,"Female",{"$f":"(C122+C133)","v":16025088.241483741},{"$f":"C144","v":6895364.6366685983},{"$f":"C148+D148","v":22920452.878152341},"Female",{"$f":"C121+C132+C143","v":-18458627.761007175},{"$f":"D121+D132+D143","v":9576053.2224616539},{"$f":"E121+F121+E132+F132+E143+F143","v":31803027.416697856},null,null,null,null,null,null,null,null,"Female",{"$f":"(S122+S133)","v":27.535214563626873},{"$f":"S144","v":20.868914561867086},{"$f":"S148+T148","v":48.404129125493959},"Female",{"$f":"S121+S132+S143","v":-56.976227620477431},{"$f":"T121+T132+T143","v":28.209935047903553},{"$f":"U121+V121+U132+V132+U143+V143","v":77.170421698067841}]
[null,"Male",{"$f":"(G122+G133)","v":28421256.074358232},{"$f":"G144","v":2183017.7623780454},{"$f":"C149+D149","v":30604273.836736277},"Male",{"$f":"G121+G132+G143","v":-25143984.402198084},{"$f":"H121+H132+H143","v":13175706.268687634},{"$f":"I121+J121+I132+J132+I143+J143","v":42572551.970246725},null,null,null,null,null,null,null,null,"Male",{"$f":"(W122+W133)","v":60.026800209418582},{"$f":"W144","v":9.612478613489106},{"$f":"S149+T149","v":69.639278822907684},"Male",{"$f":"W121+W132+W143","v":-88.001606977422995},{"$f":"X121+X132+X143","v":39.603709238931216},{"$f":"Y121+Z121+Y132+Z132+Y143+Z143","v":118.03717656139946}]
[null,null,{"$f":"SUM(C148:C149)","v":44446344.315841973},{"$f":"SUM(D148:D149)","v":9078382.3990466446},null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(S148:S149)","v":87.562014773045462},{"$f":"SUM(T148:T149)","v":30.481393175356192}]
[null,"Total societal impact",{"$f":"SUM(C150:D150)","v":53524726.714888617},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total Societal Impact",{"$f":"SUM(S150:T150)","v":118.04340794840165}]
[]
[null,"Incremental difference in complicaton costs | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Incremental difference in complication costs | Average patient"]
[]
[null,"Table 12a: Incremental difference in complication costs",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 12b: Incremental difference in complication costs","Female",null,null,null,"Male",null,null,null,null,null,null,"SUM Total"]
[null,null,"Period 1","Period 2","M+Insulin","M+SU","SUM Total",null,null,null,null,null,null,null,null,null,null,null,"Period 1","Period 2","Insulin","SU","Period 1","Period 2","Insulin","SU",null,null,"Stroke",{"$f":"SUM($C$157:$F$157)","v":5768053.4389451677}]
[null,"Stroke",{"$f":"C49*'Clinical inputs'!$I100","v":3095420.6769157108},{"$f":"D49*'Clinical inputs'!$I100","v":1303560.0527416097},{"$f":"E49*'Clinical inputs'!$I100","v":547629.08371513896},{"$f":"F49*'Clinical inputs'!$I100","v":821443.62557270832},{"$f":"SUM($C$157:$F$157)","v":5768053.4389451677},null,null,null,null,null,null,null,null,null,null,"Stroke",{"$f":"S49*'Clinical inputs'!$I100","v":6.129877291149735},{"$f":"T49*'Clinical inputs'!$I100","v":2.5818219925607213},{"$f":"U49*'Clinical inputs'!$I100","v":1.0847227484732966},{"$f":"V49*'Clinical inputs'!$I100","v":1.627084122709944},{"$f":"W49*'Clinical inputs'!$I100","v":5.9713732101496566},{"$f":"X49*'Clinical inputs'!$I100","v":2.4780650122831305},{"$f":"Y49*'Clinical inputs'!$I100","v":1.0296530102983219},{"$f":"Z49*'Clinical inputs'!$I100","v":1.5444795154474826},null,null,"MI",{"$f":"SUM($C$158:$F$158)","v":6607153.6918623131}]
[null,"MI",{"$f":"C50*'Clinical inputs'!$I101","v":-3519809.6413753461},{"$f":"D50*'Clinical inputs'!$I101","v":5448502.209597569},{"$f":"E50*'Clinical inputs'!$I101","v":3439733.3980858941},{"$f":"F50*'Clinical inputs'!$I101","v":1238727.7255541966},{"$f":"SUM($C$158:$F$158)","v":6607153.6918623131},null,null,null,null,null,null,null,null,null,null,"MI",{"$f":"S50*'Clinical inputs'!$I101","v":-6.9710347590057999},{"$f":"T50*'Clinical inputs'!$I101","v":10.791691325621848},{"$f":"U50*'Clinical inputs'!$I101","v":6.8132923844635771},{"$f":"V50*'Clinical inputs'!$I101","v":2.4536245116085995},{"$f":"W50*'Clinical inputs'!$I101","v":-6.6857027051591542},{"$f":"X50*'Clinical inputs'!$I101","v":10.333211733998045},{"$f":"Y50*'Clinical inputs'!$I101","v":6.4673918045688099},{"$f":"Z50*'Clinical inputs'!$I101","v":2.3290576952270303},null,null,"HF",{"$f":"SUM($C$159:$F$159)","v":1592391.9817648642}]
[null,"HF",{"$f":"C51*'Clinical inputs'!$I102","v":-10025268.339215847},{"$f":"D51*'Clinical inputs'!$I102","v":2861156.0690661259},{"$f":"E51*'Clinical inputs'!$I102","v":3846108.3551413296},{"$f":"F51*'Clinical inputs'!$I102","v":4910395.8967732554},{"$f":"SUM($C$159:$F$159)","v":1592391.9817648642},null,null,null,null,null,null,null,null,null,null,"HF",{"$f":"S51*'Clinical inputs'!$I102","v":-19.854041299985862},{"$f":"T51*'Clinical inputs'!$I102","v":5.6670093805599837},{"$f":"U51*'Clinical inputs'!$I102","v":7.6182243602042652},{"$f":"V51*'Clinical inputs'!$I102","v":9.7263244258417316},{"$f":"W51*'Clinical inputs'!$I102","v":-19.205161336037282},{"$f":"X51*'Clinical inputs'!$I102","v":5.426249330246212},{"$f":"Y51*'Clinical inputs'!$I102","v":7.2314585977408719},{"$f":"Z51*'Clinical inputs'!$I102","v":9.2325336020668711},null,null,"Neuropathy",{"$f":"SUM($C$160:$F$160)","v":13773013.676415712}]
[null,"Neuropathy",{"$f":"C52*'Clinical inputs'!$I103","v":-12220759.562122991},{"$f":"D52*'Clinical inputs'!$I103","v":5475924.8697223486},{"$f":"E52*'Clinical inputs'!$I103","v":11545973.656727917},{"$f":"F52*'Clinical inputs'!$I103","v":8971874.7120884378},{"$f":"SUM($C$160:$F$160)","v":13773013.676415712},null,null,null,null,null,null,null,null,null,null,"Neuropathy",{"$f":"S52*'Clinical inputs'!$I103","v":-24.202460184975674},{"$f":"T52*'Clinical inputs'!$I103","v":10.84562626237703},{"$f":"U52*'Clinical inputs'!$I103","v":22.869823117796475},{"$f":"V52*'Clinical inputs'!$I103","v":17.77114635810128},{"$f":"W52*'Clinical inputs'!$I103","v":-23.344804347365443},{"$f":"X52*'Clinical inputs'!$I103","v":10.407003037889154},{"$f":"Y52*'Clinical inputs'!$I103","v":21.708756685864778},{"$f":"Z52*'Clinical inputs'!$I103","v":16.868932056440144},null,null,"Nephropathy",{"$f":"SUM($C$161:$F$161)","v":23656535.840462424}]
[null,"Nephropathy",{"$f":"C53*'Clinical inputs'!$I104","v":5610342.6176336883},{"$f":"D53*'Clinical inputs'!$I104","v":-16088646.10267996},{"$f":"E53*'Clinical inputs'!$I104","v":12610134.471300211},{"$f":"F53*'Clinical inputs'!$I104","v":21524704.854208484},{"$f":"SUM($C$161:$F$161)","v":23656535.840462424},null,null,null,null,null,null,null,null,null,null,"Nephropathy",{"$f":"S53*'Clinical inputs'!$I104","v":11.1086658097457},{"$f":"T53*'Clinical inputs'!$I104","v":-31.868227811376826},{"$f":"U53*'Clinical inputs'!$I104","v":24.977672167320076},{"$f":"V53*'Clinical inputs'!$I104","v":42.635312301416526},{"$f":"W53*'Clinical inputs'!$I104","v":11.038482168020424},{"$f":"X53*'Clinical inputs'!$I104","v":-30.403094322913716},{"$f":"Y53*'Clinical inputs'!$I104","v":23.709593417786483},{"$f":"Z53*'Clinical inputs'!$I104","v":40.470781790046821},null,null,"Gross Total",{"$f":"SUM($C$162:$F$162)","v":51397148.629450478}]
[null,"Total per Period",{"$f":"SUM(C157:C161)","v":-17060074.248164784},{"$f":"SUM(D157:D161)","v":-999502.90155230835},{"$f":"SUM(E157:E161)","v":31989578.964970492},{"$f":"SUM(F157:F161)","v":37467146.814197078},{"$f":"SUM($C$162:$F$162)","v":51397148.629450478},null,null,null,null,null,null,null,null,null,null,"Total per Period",{"$f":"SUM(S157:S161)","v":-33.788993143071899},-1.9820788502572455,63.363734778257694,74.213491719678075,-32.225813010391803,-1.7585652084971741,60.146853516259256,70.445784659228352]
[null,"Gross Total",{"$f":"SUM(C157:F161)","v":51397148.629450485},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S157:V161)","v":101.80615450460664},null,null,null,{"$f":"SUM(W157:Z161)","v":96.60825995659863}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S163+W163","v":198.41441446120527}]
[null,"Incremental difference in drug acquisition costs | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Drug acquisition costs | Average patient"]
[]
[null,"Table 13a: Incremental difference in drug acquisition costs","Drug acquisition costs",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Table 13b: Incremental difference in drug acquisition costs","Females","Males"]
[null,"1st period",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V'!AV400:AV410)-SUM('Engine M+P'!AV400:AV410),IF($C$6=\"10 years\",SUM('Engine M+V'!AV400:AV420)-SUM('Engine M+P'!AV400:AV420),SUM('Engine M+V'!AV400:AV430)-SUM('Engine M+P'!AV400:AV430)))*-1","v":-1159092030.5773549},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Period 1_M+V",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AV4:AV14)-SUM('Engine M+P_Single Patient'!AV4:AV14),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AV4:AV24)-SUM('Engine M+P_Single Patient'!AV4:AV24),SUM('Engine M+V_Single Patient'!AV4:AV34)-SUM('Engine M+P_Single Patient'!AV4:AV34)))*-1","v":-2295.4588563654434},{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AV37:AV47)-SUM('Engine M+P_Single Patient'!AV37:AV47),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AV37:AV57)-SUM('Engine M+P_Single Patient'!AV37:AV57),SUM('Engine M+V_Single Patient'!AV37:AV67)-SUM('Engine M+P_Single Patient'!AV37:AV67)))*-1","v":-2221.4325061527807}]
[null,"2nd period",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V'!AW400:AW410)-SUM('Engine M+P'!AW400:AW410),IF($C$6=\"10 years\",SUM('Engine M+V'!AW400:AW420)-SUM('Engine M+P'!AW400:AW420),SUM('Engine M+V'!AW400:AW430)-SUM('Engine M+P'!AW400:AW430)))*-1","v":170661878.40390122},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Period 2_M+V",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AW4:AW14)-SUM('Engine M+P_Single Patient'!AW4:AW14),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AW4:AW24)-SUM('Engine M+P_Single Patient'!AW4:AW24),SUM('Engine M+V_Single Patient'!AW4:AW34)-SUM('Engine M+P_Single Patient'!AW4:AW34)))*-1","v":337.94691038637052},{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AW37:AW47)-SUM('Engine M+P_Single Patient'!AW37:AW47),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AW37:AW57)-SUM('Engine M+P_Single Patient'!AW37:AW57),SUM('Engine M+V_Single Patient'!AW37:AW67)-SUM('Engine M+P_Single Patient'!AW37:AW67)))*-1","v":328.1405054247773}]
[null,"M+Insulin",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V'!AX400:AX410)-SUM('Engine M+P'!AX400:AX410),IF($C$6=\"10 years\",SUM('Engine M+V'!AX400:AX420)-SUM('Engine M+P'!AX400:AX420),SUM('Engine M+V'!AX400:AX430)-SUM('Engine M+P'!AX400:AX430)))*-1","v":144514990.01328963},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"M+Insulin",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AX4:AX14)-SUM('Engine M+P_Single Patient'!AX4:AX14),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AX4:AX24)-SUM('Engine M+P_Single Patient'!AX4:AX24),SUM('Engine M+V_Single Patient'!AX4:AX34)-SUM('Engine M+P_Single Patient'!AX4:AX34)))*-1","v":286.24976617265975},{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AX37:AX47)-SUM('Engine M+P_Single Patient'!AX37:AX47),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AX37:AX57)-SUM('Engine M+P_Single Patient'!AX37:AX57),SUM('Engine M+V_Single Patient'!AX37:AX67)-SUM('Engine M+P_Single Patient'!AX37:AX67)))*-1","v":271.71729720954204}]
[null,"M+SU",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V'!AY400:AY410)-SUM('Engine M+P'!AY400:AY410),IF($C$6=\"10 years\",SUM('Engine M+V'!AY400:AY420)-SUM('Engine M+P'!AY400:AY420),SUM('Engine M+V'!AY400:AY430)-SUM('Engine M+P'!AY400:AY430)))*-1","v":38623474.145047218},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"M+SU",{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AY4:AY14)-SUM('Engine M+P_Single Patient'!AY4:AY14),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AY4:AY24)-SUM('Engine M+P_Single Patient'!AY4:AY24),SUM('Engine M+V_Single Patient'!AY4:AY34)-SUM('Engine M+P_Single Patient'!AY4:AY34)))*-1","v":76.503900680329622},{"$f":"IF($C$6=\"5 years\",SUM('Engine M+V_Single Patient'!AY37:AY47)-SUM('Engine M+P_Single Patient'!AY37:AY47),IF($C$6=\"10 years\",SUM('Engine M+V_Single Patient'!AY37:AY57)-SUM('Engine M+P_Single Patient'!AY37:AY57),SUM('Engine M+V_Single Patient'!AY37:AY67)-SUM('Engine M+P_Single Patient'!AY37:AY67)))*-1","v":72.619913010890883}]
[null,"Total",{"$f":"SUM(C168:C171)","v":-805291688.01511693},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Total (for males and females separately)",{"$f":"SUM(S168:S171)","v":-1594.7582791260834},{"$f":"SUM(T168:T171)","v":-1548.9547905075704}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Gross total for both genders",{"$f":"S172+T172","v":-3143.7130696336535}]
[null,"Societal impact in relation to direct costs | Population",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Societal impact in relation to direct costs | Average patient"]
[]
[]
[null,"Avoided productivity Loss",{"$f":"C123+C134","v":44446344.315841973},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Avoided productivity loss",{"$f":"S123+S134","v":87.562014773045462}]
[null,"Avoided activity loss",{"$f":"C145","v":9078382.3990466446},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Avoided activity loss",{"$f":"S145","v":30.481393175356192}]
[null,"Total Societal Impact",{"$f":"SUM(C177:C178)","v":53524726.714888617},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Societal Impact",{"$f":"SUM(S177:S178)","v":118.04340794840165}]
[]
[null,"Complication costs",{"$f":"C163","v":51397148.629450485},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Complication costs",{"$f":"S164","v":198.41441446120527}]
[null,"Drug acquisition costs",{"$f":"C172","v":-805291688.01511693},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Drug acquisition costs",{"$f":"S173","v":-3143.7130696336535}]
[null,"Direct Medical costs",{"$f":"C181+C182","v":-753894539.38566649},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Direct medical costs",{"$f":"S182+S181","v":-2945.2986551724484}]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Graphs",null,"Table of content","Results"]
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[null,"Graph 1: Health States over time"]
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[null,"Graph 2: Probability of events"]
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[null,"Graph 3: Share of patients per gender and age"]
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[null,"Graph 4: Patients alive per age group over time"]
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[null,"Graph 5: Incremental difference in number of events per complication"]
[]
[]
[null,"Stroke",{"$f":"Results!G49","v":1884.0774590588071}]
[null,"MI",{"$f":"Results!G50","v":2149.7002267255684}]
[null,"HF",{"$f":"Results!G51","v":785.76808230634674}]
[null,"Neuropathy",{"$f":"Results!G52","v":7408.0896906773123}]
[null,"Nephropathy",{"$f":"Results!G53","v":1239.5975821057873}]
[null,"Gross Total",{"$f":"Results!G54","v":13467.233040873822}]
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[null,"Graph 6: Productivity and activity impairment"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,"Return to work_stroke","Absenteeism_stroke","Presenteeism_stroke","Activity restriction_stroke","Return to work_MI","Absenteeism_MI","Presenteeism_MI","Activity restriction_MI","Return to work_HF","Absenteeism_HF","Presenteeism_HF","Activity restriction_HF","Return to work_Neuropathy","Absenteeism_Neuropathy","Presenteeism_Neuropathy","Activity restriction_Neuropathy","Return to work_Nephropathy","Absenteeism_Nephropathy","Presenteeism_Nephropathy","Activity restriction_Nephropathy"]
[null,null,null,null,null,null,null,null,null,null,null,null,"Auxilliary table for the graph",{"$f":"'Socioeconomic inputs'!C8","v":0.44},{"$f":"'Socioeconomic inputs'!C9","v":0.2283464566929134},{"$f":"'Socioeconomic inputs'!C10","v":3.5714285714285712E-2},{"$f":"'Socioeconomic inputs'!C11","v":0.6333333333333333},{"$f":"'Socioeconomic inputs'!C12","v":0.64200000000000002},{"$f":"'Socioeconomic inputs'!C13","v":5.5E-2},{"$f":"'Socioeconomic inputs'!C14","v":0.18},{"$f":"'Socioeconomic inputs'!C15","v":0.38},{"$f":"'Socioeconomic inputs'!C16","v":0.72950000000000004},{"$f":"'Socioeconomic inputs'!C17","v":8.2000000000000003E-2},{"$f":"'Socioeconomic inputs'!C18","v":0.22700000000000001},{"$f":"'Socioeconomic inputs'!C19","v":0.50600000000000001},{"$f":"'Socioeconomic inputs'!C20","v":1},{"$f":"'Socioeconomic inputs'!C21","v":0.26040000000000002},{"$f":"'Socioeconomic inputs'!C22","v":0.59650000000000003},{"$f":"'Socioeconomic inputs'!C23","v":0.60440000000000005},{"$f":"'Socioeconomic inputs'!C24","v":1},{"$f":"'Socioeconomic inputs'!C25","v":0.18},{"$f":"'Socioeconomic inputs'!C26","v":0.28999999999999998},{"$f":"'Socioeconomic inputs'!C27","v":0.53}]
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[null,"Graph 7: Incremental difference in working hours"]
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[null,"Graph 8: Incremental difference by type of work and activity impairment in working hours"]
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[null,"Graph 9: Avoided productivity and activity loss"]
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[null,"Graph 10: Incremental difference in complicaton costs"]
[]
[]
[null,"Auxilliary results for the graph"]
[null,null,"Sum Total"]
[null,"Stroke",{"$f":"Results!G157","v":5768053.4389451677}]
[null,"MI",{"$f":"Results!G158","v":6607153.6918623131}]
[null,"HF",{"$f":"Results!G159","v":1592391.9817648642}]
[null,"Neuropathy",{"$f":"Results!G160","v":13773013.676415712}]
[null,"Nephropathy",{"$f":"Results!G161","v":23656535.840462424}]
[null,"Gross total",{"$f":"Results!G162","v":51397148.629450478}]
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[]
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[null,"Graph 11: Incremental difference in drug acquisition costs"]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Graphs",null,"Table of content",null,"Results"]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sensitivity Table"]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"M+V Market Share","Return to work_stroke","Absenteeism_stroke","Presenteeism_stroke","Activity restriction_stroke","Return to work_MI","Absenteeism_MI","Presenteeism_MI","Activity restriction_MI","Return to work_HF","Absenteeism_HF","Presenteeism_HF","Activity restriction_HF","Absenteeism_Neuropathy","Presenteeism_Neuropathy","Activity restriction_Neuropathy","Absenteeism_Nephropathy","Presenteeism_Nephropathy","Activity restriction_Nephropathy","Working_Hours","Activity_Hours"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"lower bound",43033880.278770447,54177416.444357142,53333636.781826004,53500809.967200071,53542905.193194434,54658446.146303028,53401694.235693835,53324323.251962572,53488026.591145866,53968410.019953772,53426185.384332433,53395949.372893877,53505296.44485867,52230701.969908476,49957673.24491027,52705034.296598457,53360915.005802527,53219919.012066461,53369920.87879321,44813243.228983596,51745363.764675476]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"base case",53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617,53524726.714888617]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"upper bound",64015573.151006781,52872036.9854201,53715816.647951238,53548643.462577172,53506958.617062822,52391007.283474207,53647759.194083408,53725130.177814662,53561426.838631369,53081043.409823462,53623268.045444809,53653504.056883365,53544156.984918565,54818751.459868759,57091780.184866965,54344419.133178778,53688538.4239747,53829534.417710774,53679532.550984025,62236210.200793631,55304089.665101759]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Adjusted Sensitivity Table"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"M+V Market Share","Return to work_stroke","Absenteeism_stroke","Presenteeism_stroke","Activity restriction_stroke","Return to work_MI","Absenteeism_MI","Presenteeism_MI","Activity restriction_MI","Return to work_HF","Absenteeism_HF","Presenteeism_HF","Activity restriction_HF","Absenteeism_Neuropathy","Presenteeism_Neuropathy","Activity restriction_Neuropathy","Absenteeism_Nephropathy","Presenteeism_Nephropathy","Activity restriction_Nephropathy","Working_Hours","Activity_Hours"]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"base",{"$f":"Z10-Z$10","v":0},0,0,0,{"$f":"AD10-AD$10","v":0},0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"upper",10490846.436118163,-652689.72946851701,191089.93306262046,23916.747688554227,{"$f":"AD11-AD$10","v":-17768.097825795412},-1133719.4314144105,123032.47919479012,200403.46292604506,36700.123742751777,-443683.30506515503,98541.330556191504,128777.34199474752,19430.270029947162,1294024.7449801415,3567053.4699783474,819692.4182901606,163811.70908608288,304807.70282215625,154805.83609540761,8711483.485905014,1779362.9502131417]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Range",{"$f":"ABS(Z18-Z16)","v":20981692.872236334},{"$f":"ABS(AA18-AA16)","v":1305379.4589370415},382179.86612523347,47833.495377101004,35946.576131612062,2267438.8628288209,246064.9583895728,400806.92585209012,73400.247485503554,887366.61013031006,197082.66111237556,257554.68398948759,38860.540059894323,2588049.489960283,7134106.9399566948,1639384.8365803212,327623.4181721732,609615.4056443125,309611.67219081521,17422966.971810035,3558725.9004262835]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rank",{"$f":"_xlfn.RANK.AVG(Z20,$Z$20:$AT$20)","v":1},{"$f":"_xlfn.RANK.AVG(AA20,$Z$20:$AT$20)","v":8},12,19,21,6,16,11,18,9,17,15,20,5,3,7,13,10,14,2,4]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Recorded Sensitivity Table"]
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{"sheet":"PSA simulation","index":6,"n_rows":1008,"n_cols":61,"rows_kept":1008,"cut":false,"hidden":false,"merged":[[5,55,5,60]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Probabilistic Sensitivity Analysis",null,"Table of content","Results"]
[]
[]
[]
["Parameter","RR","Event rates no treatment failure in M+V",null,null,null,null,"Event probabilities in 1st treatment failure M+V",null,null,null,null,null,null,null,null,null,null,null,null,"Event rates no treatment failure M+P",null,null,null,null,"Event rates 1st treatment failure M+P",null,null,null,null,null,null,null,null,null,null,null,null,null,"Acquisition costs",null,null,null,"Complication costs",null,null,null,null,null,"RESULTS",null,null,null,null,null,"PSA results"]
["Base case","RR type 2 diabetes mortality","No TF_M+V_Stroke","No TF_M+V_MI","No TF_M+V_Heart Failure","No TF_M+V_Neuropathy","No TF_M+V_Nephropathy","1st TF_M+V_Stroke","1st TF_M+V_Neuropathy","1st TF_M+V_Nephropathy","2nd TF_I_Stroke","2nd TF_I_MI","2nd TF_I_Heart Failure","2nd TF_I_Neuropathy","2nd TF_I_Nephropathy","2nd TF_SU_Stroke","2nd TF_SU_MI","2nd TF_SU_Heart Failure","2nd TF_SU_Neuropathy","2nd TF_SU_Nephropathy","No TF_M+P_Stroke","No TF_M+P_MI","No TF_M+P_Heart Failure","No TF_M+P_Neuropathy","No TF_M+P_Nephropathy","1st TF_M+P_Stroke","1st TF_M+P_MI","1st TF_M+P_Heart Failure","1st TF_M+P_Neuropathy","2nd TF_I_Stroke","2nd TF_I_MI","2nd TF_I_Heart Failure","2nd TF_I_Neuropathy","2nd TF_I_Nephropathy","2nd TF_SU_Stroke","2nd TF_SU_MI","2nd TF_SU_Heart Failure","2nd TF_SU_Neuropathy","2nd TF_SU_Nephropathy","M","M+V","M+Insulin","M+SU","Stroke","MI","Heart Failure","Neuropathy","Nephropathy",null,"Avoided events","Avoided working hours lost","Societal Impact","Complication costs","Direct medical costs",null,null,"Avoided events","Avoided working hours lost","Societal Impact","Avoided complication costs","Direct medical costs"]
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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["General model parameters",null,"Table of content","Results"]
[null,"Keys","Country-dependent parameter","Country  specific user-input cells with default data that user can adjust by manually entering new data. Enter the country specific inputs below",null,null,null,"No adaptation is needed","Input cells with default data that no adaptation is needed either because cells are not country specific or are autamatically updated"]
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[null,"General model parameters"]
[]
[null,"Parameters","Base Case","Lower Bound","Upper Bound","Value",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sources"]
[null,"Discount rate outcomes",0.05,0.03,0.05,{"$f":"C8","v":0.05},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Faria, R. & Mejía, A. Guidelines for the economic evaluation of healthcare technologies in Colombia: technical support documents. http://www.iets.org.co/manuales/Manuales/Documentos%20tecnicos%20en%20ingl%C3%A9s.pdf."]
[null,"Discount rate costs",0.05,0.03,0.05,{"$f":"C9","v":0.05},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Faria, R. & Mejía, A. Guidelines for the economic evaluation of healthcare technologies in Colombia: technical support documents. http://www.iets.org.co/manuales/Manuales/Documentos%20tecnicos%20en%20ingl%C3%A9s.pdf."]
[]
[null,"Days per year",null,null,null,365.25]
[null,"Conventional SE (when data is not available)",null,null,null,0.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Pavey, T. et al. The clinical effectiveness and cost-effectiveness of exercise referral schemes: a systematic review and economic evaluation. Health Technol. Assess. 15, (2011)."]
[]
[null,"Probabilistic Sensitivity Analysis and Base Case control"]
[]
[null,"PSA",0]

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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Clinical inputs",null,"Table of content","Results"]
[]
[null,"Keys: ","Country-dependant parameter","Country  specific user-input cells with default data that user can adjust by manually entering new data. Enter the country specific inputs below",null,null,null,"No adaptation is needed","Input cells with default data that no adaptation is needed either because cells are not country specific or are autamatically updated"]
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[null,"Population"]
[]
[null,"Parameter","Base case","SE","Lower bound","Upper bound",null,null,"Live value",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Sources"]
[null,"Country specific prevalence ",{"$f":"14123200","v":14123200},null,null,null,null,null,{"$f":"C9","v":14123200},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IDF Diabetes Atlas 10th Edition. https://diabetesatlas.org/data/."]
[null,"Type 2 diabetes",0.9,null,null,null,null,null,0.9,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IDF. IDF news - Diabetes now affects one in 10 adults worldwide. https://www.idf.org/news/240:diabetes-now-affects-one-in-10-adults-worldwide.html (2021)."]
[null,"Diagnosed",0.52500000000000002,null,null,null,null,null,0.52500000000000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"IDF Diabetes Atlas 10th Edition. https://diabetesatlas.org/data/."]
[null,"Treated",0.8,null,null,null,null,null,0.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"L, S.-L. et al. Diabetes in Latin America: Prevalence, Complications, and Socio-Economic Impact. Int. J. Diabetes Clin. Res. 6, (2019)."]
[null,"No of patients on M+V",0.1,{"$f":"C13*ConventionalSE","v":1.0000000000000002E-2},{"$f":"C13-1.96*D13","v":8.0399999999999999E-2},{"$f":"C13+1.96*D13","v":0.11960000000000001},null,null,0.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumption"]
[null,"Mean age ",54.4,null,null,null,null,null,54.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_male_20-29",{"$f":"'Age-gender distribution'!E7","v":2.1134344772528531E-3},null,null,null,null,null,{"$f":"C15","v":2.1134344772528531E-3},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_male_30-39",{"$f":"'Age-gender distribution'!E8","v":2.6009480583281196E-2},null,null,null,null,null,2.6009480583281196E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_male_40-49",{"$f":"'Age-gender distribution'!E9","v":0.11438973521700893},null,null,null,null,null,0.11438973521700893,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_male_50-59",{"$f":"'Age-gender distribution'!E10","v":0.18213379487865453},null,null,null,null,null,0.18213379487865453,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_male_60-69",{"$f":"'Age-gender distribution'!E11","v":0.10549256433950648},null,null,null,null,null,0.10549256433950648,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_female_20-29",{"$f":"'Age-gender distribution'!E14","v":2.5417075431278806E-3},null,null,null,null,null,2.5417075431278806E-3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_female_30-39",{"$f":"'Age-gender distribution'!E15","v":3.1280124225708229E-2},null,null,null,null,null,3.1280124225708229E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_female_40-49",{"$f":"'Age-gender distribution'!E16","v":0.13757003398345127},null,null,null,null,null,0.13757003398345127,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_female_50-59",{"$f":"'Age-gender distribution'!E17","v":0.21904196476595894},null,null,null,null,null,0.21904196476595894,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[null,"M+V_female_60-69",{"$f":"'Age-gender distribution'!E18","v":0.12686991217923027},null,null,null,null,null,0.12686991217923027,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Own calculations. Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019)."]
[]
[null,"Treatment distribution post 2nd treatment failure"]
[]
[null,"Parameter","Base case ",null,null,null,null,null,"Live value"]
[null,"SU",0.6,null,null,null,null,null,{"$f":"C29","v":0.6},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumtpion"]
[null,"Insulin",0.4,null,null,null,null,null,0.4]
[]
[null,"Relative risk of diabetes mortality"]
[null,null,null,null,null,null,null,null,null,null,"Probabilistic Sensitivity Analysis: Chosen distribution and calculations"]
[]
[null,"Parameter","Base case",null,"Lower bound","Upper bound","Value",null,"Live value",null,"PSA distribution","Base case in log scale","Lower 95% bound in log scale","Upper 95% bound in log scale","SE in log scale",null,"PSA drow"]
[null,"RR_type 2 diabetes mortality",1.85,null,1.79,1.92,{"$f":"C36","v":1.85},null,{"$f":"IF(PSA=0,C36,Q36)","v":1.85},null,"LogNormal",{"$f":"LN(C36)","v":0.61518563909023349},{"$f":"LN(E36)","v":0.58221561985266368},{"$f":"LN(F36)","v":0.65232518603969014},{"$f":"(N36-M36)/(2*1.96)","v":1.7885093415057771E-2},null,{"$f":"EXP(_xlfn.NORM.INV(RAND(),L36,O36))","v":1.8739731976884542},null,null,null,null,null,null,null,"Nwaneri, C., Cooper, H. & Bowen-Jones, D. Mortality in type 2 diabetes mellitus: magnitude of the evidence from a systematic review and meta-analysis. Br. J. Diabetes Vasc. Dis. 13, 192–207 (2013)."]
[]
[]
[null,"Event Probability per cycle"]
[null,null,null,null,null,null,null,null,null,null,"Probabilistic Sensitivity Analysis: Chosen distribution and calculations"]
[null,"Parameter","Base case","SE",null,null,null,null,"Live value",null,"PSA distribution","alpha parameter","beta parameter","alpha + beta",null,null,"PSA drow"]
[null,"No TF_M+V_Stroke",{"$f":"'event probabilities'!E6","v":1.002456100355209E-4},{"$f":"C42*ConventionalSE","v":1.0024561003552091E-5},null,null,null,null,{"$f":"IF(PSA=0,C42,Q42)","v":1.002456100355209E-4},null,"Beta",{"$f":"C42*N42","v":99.989875193386396},{"$f":"L42*(1-C42)/C42","v":997348.9274186024},{"$f":"(C42*(1-C42)/D42^2)-1","v":997448.91729379585},null,null,{"$f":"_xlfn.BETA.INV(RAND(),L42,M42)","v":1.096034073821972E-4},null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+V_MI",{"$f":"'event probabilities'!E7","v":7.0362653681510512E-4},7.036265368151052E-5,null,null,null,null,7.0362653681510512E-4,null,"Beta",99.928933719781639,141919.91894197281,142019.84787569259,null,null,6.2553179143523107E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+V_Heart Failure",{"$f":"'event probabilities'!E8","v":1.1077097239442502E-3},1.1077097239442502E-4,null,null,null,null,1.1077097239442502E-3,null,"Beta",99.888121317881627,90075.470240805589,90175.358362123472,null,null,1.2093025722461626E-3,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+V_Neuropathy",{"$f":"'event probabilities'!E9","v":2.3288645087597981E-3},2.3288645087597983E-4,null,null,null,null,2.3288645087597981E-3,null,"Beta",99.76478468461525,42738.616026805139,42838.380811489755,null,null,1.9943434401254235E-3,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+V_Nephropathy",{"$f":"'event probabilities'!E10","v":3.0100860310444677E-4},3.0100860310444679E-5,null,null,null,null,3.0100860310444677E-4,null,"Beta",99.969598131086428,332015.44869905972,332115.4182971908,null,null,3.4301573791684081E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+V_Stroke",{"$f":"'event probabilities'!E11","v":1.0034620270693573E-4},1.0034620270693573E-5,null,null,null,null,1.0034620270693573E-4,null,"Beta",99.989865033526598,996348.92734561733,996448.91721065098,null,null,8.5739523278773394E-5,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+V_MI",{"$f":"'event probabilities'!E12","v":0},"ΝΑ",null,null,null,null,{"$f":"C48","v":0}]
[null,"1st TF_M+V_Heart Failure",{"$f":"'event probabilities'!E13","v":0},"ΝΑ",null,null,null,null,0]
[null,"1st TF_M+V_Neuropathy",{"$f":"'event probabilities'!E14","v":6.1709542895627134E-4},6.1709542895627137E-5,null,null,null,null,{"$f":"IF(PSA=0,C50,Q50)","v":6.1709542895627134E-4},null,"Beta",{"$f":"C50*N50","v":99.937673361675408},{"$f":"L50*(1-C50)/C50","v":161848.55306607822},{"$f":"(C50*(1-C50)/D50^2)-1","v":161948.49073943991},null,null,{"$f":"_xlfn.BETA.INV(RAND(),L50,M50)","v":6.1630115753485981E-4},null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"1st TF_M+V_Nephropathy",{"$f":"'event probabilities'!E15","v":3.0191740113771903E-4},3.0191740113771904E-5,null,null,null,null,3.0191740113771903E-4,null,"Beta",99.969506342485076,331015.44804086996,331115.41754721245,null,null,2.9565689338694948E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Stroke",{"$f":"'event probabilities'!E16","v":5.0138029400215167E-4},5.0138029400215173E-5,null,null,null,null,5.0138029400215167E-4,null,"Beta",99.949360590305744,199248.45301175505,199348.40237234536,null,null,5.1517959419467019E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_MI",{"$f":"'event probabilities'!E17","v":3.1368919065494216E-3},3.1368919065494216E-4,null,null,null,null,3.1368919065494216E-3,null,"Beta",99.683173917438509,31678.005342959099,31777.68851687654,null,null,3.2890847009667823E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Heart Failure",{"$f":"'event probabilities'!E18","v":5.3195781633745831E-3},5.3195781633745835E-4,null,null,null,null,5.3195781633745831E-3,null,"Beta",99.462722605499167,18598.020339172272,18697.48306177777,null,null,5.6464396699085206E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Neuropathy",{"$f":"'event probabilities'!E19","v":1.7406806147310161E-2},1.7406806147310162E-3,null,null,null,null,1.7406806147310161E-2,null,"Beta",98.241912579121674,5545.6373693362921,5643.8792819154132,null,null,1.763939608714471E-2,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Nephropathy",{"$f":"'event probabilities'!E20","v":1.8520835183041262E-3},1.8520835183041264E-4,null,null,null,null,1.8520835183041262E-3,null,"Beta",99.812939564651259,53792.432511680279,53892.245451244933,null,null,1.8151491002954996E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Stroke",{"$f":"'event probabilities'!E21","v":5.0138029400215167E-4},5.0138029400215173E-5,null,null,null,null,5.0138029400215167E-4,null,"Beta",99.949360590305744,199248.45301175505,199348.40237234536,null,null,5.9862441443281345E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_MI",{"$f":"'event probabilities'!E22","v":7.531116566323881E-4},7.5311165663238821E-5,null,null,null,null,7.531116566323881E-4,null,"Beta",99.923935722680099,132581.51160266704,132681.43553838972,null,null,7.4339257242898827E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Heart Failure",{"$f":"'event probabilities'!E23","v":4.5277342487558547E-3},4.5277342487558552E-4,null,null,null,null,4.5277342487558547E-3,null,"Beta",99.542698840875644,21885.55920245298,21985.101901293856,null,null,4.6512855241408468E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Neuropathy",{"$f":"'event probabilities'!E24","v":9.0173820781974667E-3},9.0173820781974667E-4,null,null,null,null,9.0173820781974667E-3,null,"Beta",99.089244410102054,10889.603876366426,10988.693120776528,null,null,8.9136113037134503E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Nephropathy",{"$f":"'event probabilities'!E25","v":2.1075932318602719E-3},2.1075932318602721E-4,null,null,null,null,2.1075932318602719E-3,null,"Beta",99.787133083582091,47246.698694973828,47346.485828057419,null,null,2.3565249150047096E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[]
[null,"No TF_M+P_Stroke",{"$f":"'event probabilities'!E28","v":4.0032078558138728E-4},{"$f":"C63*ConventionalSE","v":4.0032078558138732E-5},null,null,null,null,{"$f":"IF(PSA=0,C63,Q63)","v":4.0032078558138728E-4},null,"Beta",{"$f":"C63*N63","v":99.959567600656257},{"$f":"L63*(1-C63)/C63","v":249598.71010173619},{"$f":"(C63*(1-C63)/D63^2)-1","v":249698.66966933687},null,null,{"$f":"_xlfn.BETA.INV(RAND(),L63,M63)","v":3.561925166404879E-4},null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+P_MI",{"$f":"'event probabilities'!E29","v":7.015110918227041E-4},7.0151109182270416E-5,null,null,null,null,7.015110918227041E-4,null,"Beta",99.929147379725904,142348.49190336172,142448.42105074145,null,null,7.2847804824116569E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+P_Heart Failure",{"$f":"'event probabilities'!E30","v":3.001052597806364E-4},3.001052597806364E-5,null,null,null,null,3.001052597806364E-4,null,"Beta",99.969689368762147,333015.44935338828,333115.41904275701,null,null,3.2758359684526006E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+P_Neuropathy",{"$f":"'event probabilities'!E31","v":1.6100163451793215E-3},1.6100163451793215E-4,null,null,null,null,1.6100163451793215E-3,null,"Beta",99.837388349136901,61910.333283562366,62010.170671911495,null,null,1.3407881133943973E-3,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"No TF_M+P_Nephropathy",{"$f":"'event probabilities'!E32","v":5.0062681761775529E-4},5.0062681761775529E-5,null,null,null,null,5.0062681761775529E-4,null,"Beta",99.949436691420615,199548.63744291765,199648.58687960907,null,null,4.7598812231549703E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+P_Stroke",{"$f":"'event probabilities'!E33","v":2.0078312069526927E-4},2.0078312069526927E-5,null,null,null,null,2.0078312069526927E-4,null,"Beta",99.979720904809767,497848.8546163704,497948.83433727518,null,null,2.0213904889709866E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+P_MI",{"$f":"'event probabilities'!E34","v":5.0416037181433282E-4},5.0416037181433286E-5,null,null,null,null,5.0416037181433282E-4,null,"Beta",99.949079802446718,198148.63488318896,198248.5839629914,null,null,3.9651444714432519E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+P_Heart Failure",{"$f":"'event probabilities'!E35","v":4.0152633220624789E-4},4.0152633220624791E-5,null,null,null,null,4.0152633220624789E-4,null,"Beta",99.959445840447174,248848.70922852692,248948.66867436736,null,null,4.4375933236917575E-4,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+P_Neuropathy",{"$f":"'event probabilities'!E36","v":1.3277014946043719E-3},1.3277014946043721E-4,null,null,null,null,1.3277014946043719E-3,null,"Beta",99.865902149044928,75117.268788810194,75217.134690959239,null,null,1.2471747567648647E-3,null,null,null,null,null,null,null,"Novartis. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial (data on file). (2019)."]
[null,"1st TF_M+P_Nephropathy",{"$f":"'event probabilities'!E37","v":0},"NA",null,null,null,null,{"$f":"C72","v":0}]
[null,"2nd TF_I_Stroke",{"$f":"'event probabilities'!E38","v":5.0138029400215167E-4},5.0138029400215173E-5,null,null,null,null,{"$f":"IF(PSA=0,C73,Q73)","v":5.0138029400215167E-4},null,"Beta",{"$f":"C73*N73","v":99.949360590305744},{"$f":"L73*(1-C73)/C73","v":199248.45301175505},{"$f":"(C73*(1-C73)/D73^2)-1","v":199348.40237234536},null,null,{"$f":"_xlfn.BETA.INV(RAND(),L73,M73)","v":4.68345951338301E-4},null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_MI",{"$f":"'event probabilities'!E39","v":3.1368919065494216E-3},3.1368919065494216E-4,null,null,null,null,3.1368919065494216E-3,null,"Beta",99.683173917438509,31678.005342959099,31777.68851687654,null,null,3.2450238025009126E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Heart Failure",{"$f":"'event probabilities'!E40","v":5.3195781633745831E-3},5.3195781633745835E-4,null,null,null,null,5.3195781633745831E-3,null,"Beta",99.462722605499167,18598.020339172272,18697.48306177777,null,null,5.4044391154838278E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Neuropathy",{"$f":"'event probabilities'!E41","v":1.7406806147310161E-2},1.7406806147310162E-3,null,null,null,null,1.7406806147310161E-2,null,"Beta",98.241912579121674,5545.6373693362921,5643.8792819154132,null,null,1.7170136054122806E-2,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_I_Nephropathy",{"$f":"'event probabilities'!E42","v":1.8520835183041262E-3},1.8520835183041264E-4,null,null,null,null,1.8520835183041262E-3,null,"Beta",99.812939564651259,53792.432511680279,53892.245451244933,null,null,1.6396161440411659E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Stroke",{"$f":"'event probabilities'!E43","v":5.0138029400215167E-4},5.0138029400215173E-5,null,null,null,null,5.0138029400215167E-4,null,"Beta",99.949360590305744,199248.45301175505,199348.40237234536,null,null,5.4866477075055098E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_MI",{"$f":"'event probabilities'!E44","v":7.531116566323881E-4},7.5311165663238821E-5,null,null,null,null,7.531116566323881E-4,null,"Beta",99.923935722680099,132581.51160266704,132681.43553838972,null,null,9.2750754503112542E-4,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Heart Failure",{"$f":"'event probabilities'!E45","v":4.5277342487558547E-3},4.5277342487558552E-4,null,null,null,null,4.5277342487558547E-3,null,"Beta",99.542698840875644,21885.55920245298,21985.101901293856,null,null,4.8315322721482756E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Neuropathy",{"$f":"'event probabilities'!E46","v":9.0173820781974667E-3},9.0173820781974667E-4,null,null,null,null,9.0173820781974667E-3,null,"Beta",99.089244410102054,10889.603876366426,10988.693120776528,null,null,1.016073596784639E-2,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[null,"2nd TF_SU_Nephropathy",{"$f":"'event probabilities'!E47","v":2.1075932318602719E-3},2.1075932318602721E-4,null,null,null,null,2.1075932318602719E-3,null,"Beta",99.787133083582091,47246.698694973828,47346.485828057419,null,null,1.8611904504597728E-3,null,null,null,null,null,null,null,"Gebrie, D., Manyazewal, T., Ejigu, D. A. & Makonnen, E. Metformin-Insulin versus Metformin-Sulfonylurea Combination Therapies in Type 2 Diabetes: A Comparative Study of Glycemic Control and Risk of Cardiovascular Diseases in Addis Ababa, Ethiopia. Diabetes Metab. Syndr. Obes. Targets Ther. Volume 14, 3345–3359 (2021)."]
[]
[]
[]
[null,"Drug acquisition cost per cycle"]
[null,null,null,null,null,null,null,null,null,null,"Probabilistic Sensitivity Analysis: Chosen distribution and calculations"]
[]
[null,"Parameter","Base case","SE",null,null,null,null,"Live value",null,"PSA distribution","alpha parameter","beta parameter","alpha + beta",null,null,"PSA drow"]
[null,"M",36.700548300000001,{"$f":"ABS(C90)*ConventionalSE","v":3.6700548300000002},null,null,null,null,{"$f":"IF(PSA=0,C90,Q90)","v":36.700548300000001},null,"Gamma",{"$f":"C90^2/D90^2","v":100},{"$f":"D90^2/C90","v":0.36700548300000002},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L90,M90)","v":33.385105997353904},null,null,null,null,null,null,null,"Own calculation based on data provided by Novartis, assuming that a patients gets on average a 1000mg-dosage per day of Metformin"]
[null,"M+V",235.7553345,{"$f":"ABS(C91)*ConventionalSE","v":23.575533450000002},null,null,null,null,{"$f":"IF(PSA=0,C91,Q91)","v":235.7553345},null,"Gamma",{"$f":"C91^2/D91^2","v":99.999999999999986},{"$f":"D91^2/C91","v":2.3575533450000004},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L91,M91)","v":272.99784887415973},null,null,null,null,null,null,null,"Own calculation based on data provided by Novartis, assuming that a patients gets on average a 1000mg-dosage per day of Metformin and 100 mg of Vildagliptin"]
[null,"M+Insulin",405.06449212879204,{"$f":"ABS(C92)*ConventionalSE","v":40.506449212879204},null,null,null,null,{"$f":"IF(PSA=0,C92,Q92)","v":405.06449212879204},null,"Gamma",100,4.0506449212879199,"NA",null,null,436.33200923113247,null,null,null,null,null,null,null,"Own calculation based on data provided by Novartis"]
[null,"M+SU",72.172434326129434,{"$f":"ABS(C93)*ConventionalSE","v":7.2172434326129435},null,null,null,null,{"$f":"IF(PSA=0,C93,Q93)","v":72.172434326129434},null,"Gamma",99.999999999999986,0.72172434326129442,"NA",null,null,68.315519069759887,null,null,null,null,null,null,null,"Own calculation based on data provided by Novartis"]
[]
[]
[null,"Complication costs"]
[null,null,null,null,null,null,null,null,null,null,"Probabilistic Sesitivity Analysis: chosen distribution and calculations"]
[]
[null,"Parameter","Base case","SE",null,null,null,null,"Live value",null,"PSA distribution","alpha parameter","beta parameter","alpha + beta",null,null,"PSA drow"]
[null,"Stroke",3061.4736200000002,{"$f":"ABS(C100)*ConventionalSE","v":306.14736200000004},null,null,null,null,{"$f":"IF(PSA=0,C100,Q100)","v":3061.4736200000002},null,"Gamma",{"$f":"C100^2/D100^2","v":99.999999999999986},{"$f":"D100^2/C100","v":30.614736200000007},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L100,M100)","v":2837.8364882643409},null,null,null,null,null,null,null,"Hunt, B., Garza, J. L. A., Vázquez, C. J. E., Jain, P. & Valentine, W. J. Evaluating the Long-Term Health Economic Implications of Improving the Proportion of Patients with Type 2 Diabetes Meeting Treatment Targets in Mexico. Value Health Reg. Issues 8, 20–27 (2015)."]
[null,"MI",3073.5232799999999,{"$f":"ABS(C101)*ConventionalSE","v":307.352328},null,null,null,null,{"$f":"IF(PSA=0,C101,Q101)","v":3073.5232799999999},null,"Gamma",{"$f":"C101^2/D101^2","v":100},{"$f":"D101^2/C101","v":30.735232799999999},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L101,M101)","v":3110.3516765188219},null,null,null,null,null,null,null,"Hunt, B., Garza, J. L. A., Vázquez, C. J. E., Jain, P. & Valentine, W. J. Evaluating the Long-Term Health Economic Implications of Improving the Proportion of Patients with Type 2 Diabetes Meeting Treatment Targets in Mexico. Value Health Reg. Issues 8, 20–27 (2015)."]
[null,"Heart Failure",2026.54195,{"$f":"ABS(C102)*ConventionalSE","v":202.65419500000002},null,null,null,null,{"$f":"IF(PSA=0,C102,Q102)","v":2026.54195},null,"Gamma",{"$f":"C102^2/D102^2","v":100},{"$f":"D102^2/C102","v":20.265419500000004},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L102,M102)","v":2239.432628647136},null,null,null,null,null,null,null,"Hunt, B., Garza, J. L. A., Vázquez, C. J. E., Jain, P. & Valentine, W. J. Evaluating the Long-Term Health Economic Implications of Improving the Proportion of Patients with Type 2 Diabetes Meeting Treatment Targets in Mexico. Value Health Reg. Issues 8, 20–27 (2015)."]
[null,"Neuropathy",1859.1856,{"$f":"ABS(C103)*ConventionalSE","v":185.91856000000001},null,null,null,null,{"$f":"IF(PSA=0,C103,Q103)","v":1859.1856},null,"Gamma",{"$f":"C103^2/D103^2","v":99.999999999999972},{"$f":"D103^2/C103","v":18.591856000000003},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L103,M103)","v":1831.4109623848062},null,null,null,null,null,null,null,"Hunt, B., Garza, J. L. A., Vázquez, C. J. E., Jain, P. & Valentine, W. J. Evaluating the Long-Term Health Economic Implications of Improving the Proportion of Patients with Type 2 Diabetes Meeting Treatment Targets in Mexico. Value Health Reg. Issues 8, 20–27 (2015)."]
[null,"Nephropathy",19084.044839999999,{"$f":"ABS(C104)*ConventionalSE","v":1908.4044839999999},null,null,null,null,{"$f":"IF(PSA=0,C104,Q104)","v":19084.044839999999},null,"Gamma",{"$f":"C104^2/D104^2","v":100},{"$f":"D104^2/C104","v":190.84044839999999},"NA",null,null,{"$f":"_xlfn.GAMMA.INV(RAND(),L104,M104)","v":20106.414662086881},null,null,null,null,null,null,null,"Hunt, B., Garza, J. L. A., Vázquez, C. J. E., Jain, P. & Valentine, W. J. Evaluating the Long-Term Health Economic Implications of Improving the Proportion of Patients with Type 2 Diabetes Meeting Treatment Targets in Mexico. Value Health Reg. Issues 8, 20–27 (2015)."]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,"ONE-WAY SENSITIVITY DATA TABLES"]
[]
[null,null,null,"No of patients in M+V",{"$f":"results_SI","v":53524726.714888617}]
[null,null,"lower",8.0399999999999999E-2,43033880.278770447]
[null,null,"base",0.1,53524726.714888617]
[null,null,"upper",0.11960000000000001,64015573.151006781]

{"sheet":"event probabilities","index":9,"n_rows":57,"n_cols":9,"rows_kept":57,"cut":false,"hidden":false,"merged":[[4,1,4,4],[26,1,26,4],[2,1,2,8]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Event probabilities",null,"Table of content","Results"]
[]
[null,"Event per treatment period","5-year incidence","1-year rate","6 month probability"]
[null,"Early intensified treatment group"]
[null,"No treatment failure_Stroke",1.002004008016032E-3,{"$f":"-(LN(1-C6))/5","v":2.0050126992511799E-4},{"$f":"1-EXP(-D6*0.5)","v":1.002456100355209E-4}]
[null,"No treatment failure_MI",7.0140280561122245E-3,{"$f":"-(LN(1-C7))/5","v":1.4077483962951873E-3},{"$f":"1-EXP(-D7*0.5)","v":7.0362653681510512E-4}]
[null,"No treatment failure_Heart Failure",1.1022044088176353E-2,2.2166473755964693E-3,1.1077097239442502E-3]
[null,"No treatment failure_Neuropathy",2.3046092184368736E-2,4.6631610627233533E-3,2.3288645087597981E-3]
[null,"No treatment failure_Nephropathy",3.0060120240480962E-3,6.0210783057423043E-4,3.0100860310444677E-4]
[null,"1st treatment failure_Stroke",1.0030090270812437E-3,2.0070247544802674E-4,1.0034620270693573E-4]
[null,"1st treatment failure_MI",0,0,0]
[null,"1st treatment failure_Heart Failure",0,0,0]
[null,"1st treatment failure_Neuropathy",6.1538461538461538E-3,1.2345718214161936E-3,6.1709542895627134E-4]
[null,"1st treatment failure_Nephropathy",3.015075376884422E-3,6.0392597474398914E-4,3.0191740113771903E-4]
[null,"2nd treatment failure_Insulin_Stroke",6.0000000000000001E-3,{"$f":"-(LN(1-C16))/6","v":1.0030120542605036E-3},5.0138029400215167E-4]
[null,"2nd treatment failure_Insulin_MI",3.6999999999999998E-2,{"$f":"-(LN(1-C17))/6","v":6.2836445306685878E-3},3.1368919065494216E-3]
[null,"2nd treatment failure_Insulin_Heart Failure",6.2E-2,1.0667554995985406E-2,5.3195781633745831E-3]
[null,"2nd treatment failure_Insulin_Neuropathy",0.19,3.5120171885942089E-2,1.7406806147310161E-2]
[null,"2nd treatment failure_Insulin_Nephropathy",2.1999999999999999E-2,3.7076014912199562E-3,1.8520835183041262E-3]
[null,"2nd treatment failure_SU_Stroke",6.0000000000000001E-3,1.0030120542605036E-3,5.0138029400215167E-4]
[null,"2nd treatment failure_SU_MI",8.9999999999999993E-3,1.5067907753581785E-3,7.531116566323881E-4]
[null,"2nd treatment failure_SU_Heart Failure",5.2999999999999999E-2,9.0760309660098092E-3,4.5277342487558547E-3]
[null,"2nd treatment failure_SU_Neuropathy",0.10299999999999999,1.8116569487223486E-2,9.0173820781974667E-3]
[null,"2nd treatment failure_SU_Nephropathy",2.5000000000000001E-2,4.2196346640483162E-3,2.1075932318602719E-3]
[null,"Event per treatment period","5-year incidence","1-year rate","6 month probability"]
[null,"The stepwise approach group"]
[null,"No treatment failure_Stroke",3.996003996003996E-3,8.0080187067644616E-4,4.0032078558138728E-4,null,"No treatment failure","Stroke_Mono",{"$f":"E28","v":4.0032078558138728E-4}]
[null,"No treatment failure_MI",6.993006993006993E-3,1.4035145317293069E-3,7.015110918227041E-4,null,null,"Stroke_Combo",{"$f":"E6","v":1.002456100355209E-4}]
[null,"No treatment failure_Heart Failure",2.997002997002997E-3,6.0030060075132402E-4,3.001052597806364E-4,null,null,"MI_Mono",{"$f":"E29","v":7.015110918227041E-4}]
[null,"No treatment failure_Neuropathy",1.5984015984015984E-2,3.2226276286263433E-3,1.6100163451793215E-3,null,null,"MI_Combo",{"$f":"E7","v":7.0362653681510512E-4}]
[null,"No treatment failure_Nephropathy",4.995004995004995E-3,1.0015043461244809E-3,5.0062681761775529E-4,null,null,"HF_Mono",{"$f":"E30","v":3.001052597806364E-4}]
[null,"1st treatment failure_Stroke",2.0060180541624875E-3,4.0160656064910466E-4,2.0078312069526927E-4,null,null,"HF_Combo",{"$f":"E8","v":1.1077097239442502E-3}]
[null,"1st treatment failure_MI",5.0301810865191147E-3,1.0085750067723798E-3,5.0416037181433282E-4,null,null,"Neuropathy_Mono",{"$f":"E31","v":1.6100163451793215E-3}]
[null,"1st treatment failure_Heart Failure",4.0080160320641279E-3,8.032139309779886E-4,4.0152633220624789E-4,null,null,"Neuropathy_Combo",{"$f":"E9","v":2.3288645087597981E-3}]
[null,"1st treatment failure_Neuropathy",1.3197969543147208E-2,2.6571673423299645E-3,1.3277014946043719E-3,null,null,"Nephropathy_Mono",{"$f":"E32","v":5.0062681761775529E-4}]
[null,"1st treatment failure_Nephropathy",0,0,0,null,null,"Nephropathy_Combo",{"$f":"E10","v":3.0100860310444677E-4}]
[null,"2nd treatment failure_Insulin_Stroke",6.0000000000000001E-3,{"$f":"-(LN(1-C38))/6","v":1.0030120542605036E-3},5.0138029400215167E-4,null,"1st treatment failure","Stroke_Mono",{"$f":"E33","v":2.0078312069526927E-4}]
[null,"2nd treatment failure_Insulin_MI",3.6999999999999998E-2,{"$f":"-(LN(1-C39))/6","v":6.2836445306685878E-3},3.1368919065494216E-3,null,null,"Stroke_Combo",{"$f":"E11","v":1.0034620270693573E-4}]
[null,"2nd treatment failure_Insulin_Heart Failure",6.2E-2,1.0667554995985406E-2,5.3195781633745831E-3,null,null,"MI_Mono",{"$f":"E34","v":5.0416037181433282E-4}]
[null,"2nd treatment failure_Insulin_Neuropathy",0.19,3.5120171885942089E-2,1.7406806147310161E-2,null,null,"MI_Combo",{"$f":"E12","v":0}]
[null,"2nd treatment failure_Insulin_Nephropathy",2.1999999999999999E-2,3.7076014912199562E-3,1.8520835183041262E-3,null,null,"HF_Mono",{"$f":"E35","v":4.0152633220624789E-4}]
[null,"2nd treatment failure_SU_Stroke",6.0000000000000001E-3,1.0030120542605036E-3,{"$f":"1-EXP(-D43*0.5)","v":5.0138029400215167E-4},null,null,"HF_Combo",{"$f":"E13","v":0}]
[null,"2nd treatment failure_SU_MI",8.9999999999999993E-3,1.5067907753581785E-3,7.531116566323881E-4,null,null,"Neuropathy_Mono",{"$f":"E36","v":1.3277014946043719E-3}]
[null,"2nd treatment failure_SU_Heart Failure",5.2999999999999999E-2,9.0760309660098092E-3,4.5277342487558547E-3,null,null,"Neuropathy_Combo",{"$f":"E14","v":6.1709542895627134E-4}]
[null,"2nd treatment failure_SU_Neuropathy",0.10299999999999999,1.8116569487223486E-2,9.0173820781974667E-3,null,null,"Nephropathy_Mono",{"$f":"E37","v":0}]
[null,"2nd treatment failure_SU_Nephropathy",2.5000000000000001E-2,4.2196346640483162E-3,2.1075932318602719E-3,null,null,"Nephropathy_Combo",{"$f":"E15","v":3.0191740113771903E-4}]
[null,null,null,null,null,null,"2nd treatment failure","Stroke_I",{"$f":"E16","v":5.0138029400215167E-4}]
[null,null,null,null,null,null,null,"Stroke_SU",{"$f":"E21","v":5.0138029400215167E-4}]
[null,null,null,null,null,null,null,"MI_I",{"$f":"E17","v":3.1368919065494216E-3}]
[null,null,null,null,null,null,null,"MI_SU",{"$f":"E22","v":7.531116566323881E-4}]
[null,null,null,null,null,null,null,"HF_I",{"$f":"E18","v":5.3195781633745831E-3}]
[null,null,null,null,null,null,null,"HF_SU",{"$f":"E23","v":4.5277342487558547E-3}]
[null,null,null,null,null,null,null,"Neuropathy_I",{"$f":"E19","v":1.7406806147310161E-2}]
[null,null,null,null,null,null,null,"Neuropathy_SU",{"$f":"E24","v":9.0173820781974667E-3}]
[null,null,null,null,null,null,null,"Nephropathy_I",{"$f":"E20","v":1.8520835183041262E-3}]
[null,null,null,null,null,null,null,"Nephropathy_SU",{"$f":"E25","v":2.1075932318602719E-3}]

{"sheet":"Socioeconomic inputs","index":10,"n_rows":218,"n_cols":32,"rows_kept":218,"cut":false,"hidden":false,"merged":[[2,4,2,7],[96,18,98,20],[4,1,4,16],[94,4,94,6],[5,4,5,6],[31,4,31,6],[50,4,50,6],[69,4,69,6],[2,9,2,11]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Socioeconomic inputs",null,"Table of content","Results"]
[null,null,"Keys: ","Country dependant parameter","Country  specific user-input cells with default data that user can adjust by manually entering new data. Enter the country specific inputs below",null,null,null,"No adaptation is needed","Input cells with default data that no adaptation is needed either because cells are not country specific or are autamatically updated"]
[]
[null,"Productivity inputs"]
[null,null,null,null,"Deterministic Sensitivity Analysis",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source:"]
[null,"Parameter","Base Case","SE","Lower bound","Upper bound","Value",null,"Live value",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Auxilary Calculation Input:"]
[null,"Return to work_stroke",0.44,{"$f":"C8*ConventionalSE","v":4.4000000000000004E-2},{"$f":"C8-1.96*D8","v":0.35375999999999996},{"$f":"C8+1.96*D8","v":0.52624000000000004},{"$f":"C8","v":0.44},null,{"$f":"C8","v":0.44},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Nascimento, L. R. et al. Predictors of return to work after stroke: a prospective, observational cohort study with 6 months follow-up. Disabil. Rehabil. 43, 525–529 (2021).",null,null,null,null,null,null,"working days in 2021 in Mexico"]
[null,"Absenteeism_stroke",0.2283464566929134,2.2834645669291342E-2,{"$f":"C9-1.96*D9","v":0.18359055118110237},{"$f":"C9+1.96*D9","v":0.27310236220472445},{"$f":"C9","v":0.2283464566929134},null,0.2283464566929134,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marques, N. et al. Patient and caregiver productivity loss and indirect costs associated with cardiovascular events in Portugal. Rev. Port. Cardiol. Engl. Ed. 40, 109–115 (2021).",null,null,null,null,null,null,"days of absenteeism"]
[null,"Presenteeism_stroke",3.5714285714285712E-2,3.5714285714285713E-3,2.8714285714285713E-2,4.2714285714285712E-2,3.5714285714285712E-2,null,3.5714285714285712E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Marques, N. et al. Patient and caregiver productivity loss and indirect costs associated with cardiovascular events in Portugal. Rev. Port. Cardiol. Engl. Ed. 40, 109–115 (2021).",null,null,null,null,null,null,"days of presenteeism"]
[null,"Activity restriction_stroke",0.6333333333333333,6.3333333333333339E-2,0.50919999999999999,0.75746666666666662,0.6333333333333333,null,0.6333333333333333,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Butler, E. N. & Evenson, K. R. Prevalence of physical activity and sedentary behavior among stroke survivors in the United States. Top. Stroke Rehabil. 21, 246–255 (2014).",null,null,null,null,null,null,"moderate to vigorous working hours/ week (healthy)"]
[null,"Return to work_MI",0.64200000000000002,6.4200000000000007E-2,{"$f":"C12-1.96*D12","v":0.51616799999999996},{"$f":"C12+1.96*D12","v":0.76783200000000007},0.64200000000000002,null,0.64200000000000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Ríos Oropesa, D., Cervera Estrada, L. & Hernández Riera, R. Reincorporación laboral en pacientes con antecedentes de infarto del miocardio. Rev. Arch. Méd. Camagüey 17, 419–434 (2013).",null,null,null,null,null,null,"moderate to vigorous working hours/ week (stroke)"]
[null,"Absenteeism_MI",5.5E-2,5.5000000000000005E-3,4.4219999999999995E-2,6.5780000000000005E-2,5.5E-2,null,5.5E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Presenteeism_MI",0.18,1.7999999999999999E-2,0.14471999999999999,0.21528,0.18,null,0.18,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Activity restriction_MI",0.38,3.8000000000000006E-2,0.30552000000000001,0.45448,0.38,null,0.38,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Return to work_HF",0.72950000000000004,7.2950000000000001E-2,0.58651800000000009,0.87248199999999998,0.72950000000000004,null,0.72950000000000004,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Rørth, R. et al. Return to the Workforce After First Hospitalization for Heart Failure: A Danish Nationwide Cohort Study. Circulation 134, 999–1009 (2016).",null,null,null,"Re-calculated value by exlcuding people that have died"]
[null,"Absenteeism_HF",8.2000000000000003E-2,8.2000000000000007E-3,6.5928E-2,9.8072000000000006E-2,8.2000000000000003E-2,null,8.2000000000000003E-2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Presenteeism_HF",0.22700000000000001,2.2700000000000001E-2,0.182508,0.27149200000000001,0.22700000000000001,null,0.22700000000000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Activity restriction_HF",0.50600000000000001,5.0600000000000006E-2,0.40682399999999996,0.60517600000000005,0.50600000000000001,null,0.50600000000000001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Forlenza, J. B. et al. Quality of Life, Productivity, and Activity Impairment Among US Survey Respondents With Hepatitis C: An Evaluation of HCV and Six Select Medical Conditions. in (2014)."]
[null,"Return to work_Neuropathy",1,"NA","NA","NA",1,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumption"]
[null,"Absenteeism_Neuropathy",0.26040000000000002,{"$f":"C21*ConventionalSE","v":2.6040000000000004E-2},0.20936160000000001,0.3114384,0.26040000000000002,null,0.26040000000000002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Goren, A., Gross, H. J., Fujii, R. K., Pandey, A. & Mould-Quevedo, J. Prevalence of pain awareness, treatment, and associated health outcomes across different conditions in Brazil. Rev. Dor 13, 308–319 (2012)."]
[null,"Presenteeism_Neuropathy",0.59650000000000003,{"$f":"C22*ConventionalSE","v":5.9650000000000009E-2},0.47958600000000001,0.71341399999999999,0.59650000000000003,null,0.59650000000000003,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Goren, A., Gross, H. J., Fujii, R. K., Pandey, A. & Mould-Quevedo, J. Prevalence of pain awareness, treatment, and associated health outcomes across different conditions in Brazil. Rev. Dor 13, 308–319 (2012)."]
[null,"Activity restriction_Neuropathy",0.60440000000000005,{"$f":"C23*ConventionalSE","v":6.0440000000000008E-2},0.48593760000000003,0.72286240000000002,0.60440000000000005,null,0.60440000000000005,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Goren, A., Gross, H. J., Fujii, R. K., Pandey, A. & Mould-Quevedo, J. Prevalence of pain awareness, treatment, and associated health outcomes across different conditions in Brazil. Rev. Dor 13, 308–319 (2012)."]
[null,"Return to work_Nephropathy",1,"NA","NA","NA",1,null,1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Assumption"]
[null,"Absenteeism_Nephropathy",0.18,{"$f":"C25*ConventionalSE","v":1.7999999999999999E-2},{"$f":"C25-1.96*D25","v":0.14471999999999999},{"$f":"C25+1.96*D25","v":0.21528},0.18,null,{"$f":"C25","v":0.18},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Naim, A., DiBonaventura, M., Wagner, S. & Piech, C. Assessing Work Productivity Loss and Disability Among Chronic Kidney Disease Sufferers. in."]
[null,"Presenteeism_Nephropathy",0.28999999999999998,{"$f":"C26*ConventionalSE","v":2.8999999999999998E-2},{"$f":"C26-1.96*D26","v":0.23315999999999998},{"$f":"C26+1.96*D26","v":0.34683999999999998},0.28999999999999998,null,0.28999999999999998,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Naim, A., DiBonaventura, M., Wagner, S. & Piech, C. Assessing Work Productivity Loss and Disability Among Chronic Kidney Disease Sufferers. in."]
[null,"Activity restriction_Nephropathy",0.53,{"$f":"C27*ConventionalSE","v":5.3000000000000005E-2},0.42612,0.63388,0.53,null,0.53,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Naim, A., DiBonaventura, M., Wagner, S. & Piech, C. Assessing Work Productivity Loss and Disability Among Chronic Kidney Disease Sufferers. in."]
[]
[]
[null,"Employment rates in country"]
[]
[null,null,null,null,"Deterministic Sensitivity Analysis"]
[null,"Parameters","Base Case","SE","Lower bound","Upper bound","Value",null,"Live value"]
[null,null,1,{"$f":"C34*ConventionalSE","v":0.1},{"$f":"C34-1.96*D34","v":0.80400000000000005},{"$f":"C34+1.96*D34","v":1.196},{"$f":"C34","v":1},null,{"$f":"C34","v":1}]
[]
[null,"employment rate_male_15-19",0.38,null,null,null,null,null,{"$f":"C36*$I$34","v":0.38},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_male_20-29",0.79,null,null,null,null,null,{"$f":"C37*$I$34","v":0.79},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_male_30-39",0.92,null,null,null,null,null,0.92,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_male_40-49",0.92,null,null,null,null,null,0.92,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_male_50-59",0.87,null,null,null,null,null,0.87,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_male_>60",0.49,null,null,null,null,null,0.49,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_15-19",0.18,null,null,null,null,null,0.18,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_20-29",0.48,null,null,null,null,null,0.48,null,null,null,null,null,null,"                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  ",null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_30-39",0.56000000000000005,null,null,null,null,null,0.56000000000000005,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_40-49",0.57999999999999996,null,null,null,null,null,0.57999999999999996,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_50-59",0.49,null,null,null,null,null,0.49,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[null,"employment rate_female_>60",0.21,null,null,null,null,null,0.21,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. Encuesta Nacional de Ocupación y Empleo. https://www.inegi.org.mx/sistemas/olap/proyectos/bd/encuestas/hogares/enoe/2010_pe_ed15/po.asp?s=est&proy=enoe_pe_ed15_po&p=enoe_pe_ed15 (2021)."]
[]
[null,"Average weekly hours actually worked on the main job in country"]
[]
[null,null,null,null,"Deterministic Sensitivity Analysis"]
[null,"Parameters","Base Case","SE","Lower bound","Upper bound","Value",null,"Live value"]
[null,null,1,{"$f":"C53*ConventionalSE","v":0.1},{"$f":"C53-1.96*D53","v":0.80400000000000005},{"$f":"C53+1.96*D53","v":1.196},{"$f":"C53","v":1},null,{"$f":"C53","v":1}]
[]
[null,"weekly working hours_male_15-19",33.5,null,null,null,null,null,{"$f":"C55*$I$53","v":33.5},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_male_20-29",48.8,null,null,null,null,null,{"$f":"C56*$I$53","v":48.8},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_male_30-39",52.1,null,null,null,null,null,52.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_male_40-49",51.2,null,null,null,null,null,51.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_male_50-59",49.1,null,null,null,null,null,49.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_male_>60",41.7,null,null,null,null,null,41.7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_15-19",29.3,null,null,null,null,null,29.3,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_20-29",39.4,null,null,null,null,null,39.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_30-39",39.299999999999997,null,null,null,null,null,39.299999999999997,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_40-49",39.6,null,null,null,null,null,39.6,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_50-59",38.4,null,null,null,null,null,38.4,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly working hours_female_>60",32.700000000000003,null,null,null,null,null,32.700000000000003,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[]
[null,"Average unpaid hours worked in country"]
[]
[null,null,null,null,"Deterministic Sensitivity Analysis"]
[null,"Parameters","Base Case","SE","Lower bound","Upper bound","Value",null,"Live value"]
[null,null,1,{"$f":"C72*ConventionalSE","v":0.1},{"$f":"C72-1.96*D72","v":0.80400000000000005},{"$f":"C72+1.96*D72","v":1.196},{"$f":"C72","v":1},null,{"$f":"C72","v":1}]
[]
[null,"weekly activity hours_male_15-19",14.1,null,null,null,null,null,{"$f":"C74*$I$72","v":14.1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_male_20-29",19.5,null,null,null,null,null,{"$f":"C75*$I$72","v":19.5},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_male_30-39",23.7,null,null,null,null,null,23.7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_male_40-49",21,null,null,null,null,null,21,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_male_50-59",18.7,null,null,null,null,null,18.7,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_male_>60",21.5,null,null,null,null,null,21.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_15-19",25.2,null,null,null,null,null,25.2,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_20-29",58,null,null,null,null,null,58,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_30-39",67.400000000000006,null,null,null,null,null,67.400000000000006,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_40-49",56.8,null,null,null,null,null,56.8,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_50-59",50.1,null,null,null,null,null,50.1,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[null,"weekly activity hours_female_>60",42.5,null,null,null,null,null,42.5,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"INEGI Instituto Nacional de Estadística, Geografía e Informática. National Survey on Time Use (ENUT) 2019. https://en.www.inegi.org.mx/programas/enut/2019/#Tabular_data (2019)"]
[]
[null,"Working weeks/ activity weeks per half of a year in country"]
[]
[null,"Parameters","Base case",null,null,null,null,null,"Live value"]
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[]
[null,"Average hourly wage in country"]
[]
[null,null,null,null,"Deterministic Sensitivity Analysis"]
[null,"Parameters","Base Case","SE","Lower bound","Upper bound","Value",null,"Live value",null,null,null,null,null,null,null,null,null,null,null,null,"Average annual wage in Mexico in US dollars PPPs",16771]
[null,null,1,{"$f":"C97*ConventionalSE","v":0.1},{"$f":"C97-1.96*D97","v":0.80400000000000005},{"$f":"C97+1.96*D97","v":1.196},{"$f":"C97","v":1},null,{"$f":"C97","v":1}]
[]
[null,"average hourly wage",7.8479176415535798,null,null,null,null,null,{"$f":"C99*$I$97","v":7.8479176415535798},null,null,null,null,null,null,null,null,null,null,null,null,"Average annual hours worked",2137,null,"OECD. OECD Statistics. https://stats.oecd.org/ (2021)."]
[null,"hourly minimum wage",1.24,null,null,null,null,null,{"$f":"C100*$I$97","v":1.24},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"OECD. OECD Statistics. https://stats.oecd.org/ (2021)."]
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["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Employment characterisitcs",null,"Table of content","Results"]
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[null,null,"Employment Rate",null,"Weekly working hours",null,"Weekly activity hours"]
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{"sheet":"1st treatment failure","index":12,"n_rows":435,"n_cols":66,"rows_kept":435,"cut":false,"hidden":false,"merged":[[9,60,9,62],[9,63,9,65],[2,3,2,9]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["1st Treatment Failure (VERIFY Study)",null,null,"Table of content","Results"]
[]
["Metformin+Vildagliptin",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Metformin+Placebo"]
[null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,"Exponential","Weibull","Log-logistic","Log-Normal","Gompertz"]
[null,null,"Param a",1.03340085284E-2,1.3206955091299999,1.53898345955,1.1433599776400001,9.7845576160000003E-3,null,null,"AIC",4783.0462770439999,4748.4422396541004,4734.2989078929004,4719.5861383841002,4772.8718014944998,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param a",1.8730312658100001E-2,1.1681296922,1.4740998143299999,1.12845433195,3.7842124688999999E-3,null,null,"AIC",6114.5076170897,6097.5201290483001,6072.2407439324998,6037.4692123903997,6114.0760151942004]
[null,null,"Param b",null,82.258908737780004,62.641858176089997,4.1610329840300002,7.9182242843E-3,null,null,"BIC",4787.9368861641997,4758.2234578943999,4744.0801261331999,4729.3673566243997,4782.6530197348002,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param b",null,51.718331325980003,35.190159183399999,3.5528638572500002,1.7099984665700001E-2,null,null,"BIC",6119.4043114213,6107.3135177115,6082.0341325956997,6047.2626010536997,6123.8694038575004]
[null,null,"Param c",null,null,null,null,null,null,null,"Note: Dark blue cells represent the chosen distribution for the parametrization of Kaplan Meier curves",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param c",null,null,null,null,null,null,null,"Note: Dark blue cells represent the chosen distribution for the parametrization of Kaplan Meier curves"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Metformin+Vildagliptin",null,null,"Metformin+Placebo"]
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{"sheet":"2nd treatment failure","index":13,"n_rows":347,"n_cols":66,"rows_kept":347,"cut":false,"hidden":false,"merged":[[8,60,8,62],[8,63,8,65],[2,3,2,9]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["2nd Treatment Failure (VERIFY Study)",null,null,"Table of content","Results"]
["Metformi+Vildagliptin",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Metformin+Placebo"]
[null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Exponential","Weibull","Log-Logistic","Log-Normal","Gompertz",null,null,null,"Exponential","Weibull","Log-logistic","Log-Normal","Gompertz"]
[null,null,"Param a",6.5695090243999997E-3,1.8314150361599999,2.0339446219999999,0.89340013915000005,2.8132470609599999E-2,null,null,"AIC",3641.2909556365998,3537.0115834420999,3529.5623200663999,3515.2645921413,3573.6790931289001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param a",8.807095002E-3,1.6822883959999999,1.9343726423500001,0.89896554718999999,2.25286309815E-2,null,null,"AIC",4324.0770035268997,4221.1865893353997,4206.1752552723001,4182.8054623976004,4268.2517237631]
[null,null,"Param b",null,94.411852321439994,80.448887404000004,4.4342083367100003,2.7575459374000002E-3,null,null,"BIC",3646.1815647567,3546.7928016823998,3539.3435383066999,3525.0458103815999,3583.4603113692001,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param b",null,82.101238181400007,66.709249891949995,4.2191485489999998,4.5678145066999996E-3,null,null,"BIC",4328.9736978584997,4230.9799779985997,4215.9686439355,4192.5988510609004,4278.0451124264]
[null,null,"Param c",null,null,null,null,null,null,null,"Note: Dark blue cells represent the chosen distribution for the parametrization of Kaplan Meier curves",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Param c",null,null,null,null,null,null,null,"Note: Dark blue cells represent the chosen distribution for the parametrization of Kaplan Meier curves"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Metformin+Vildagliptin",null,null,"Metformin+Placebo"]
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{"sheet":"Death rates","index":14,"n_rows":92,"n_cols":20,"rows_kept":92,"cut":false,"hidden":false,"merged":[[3,3,3,6],[3,8,3,10]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Death rates",null,"Table of content","Results"]
[]
[null,"Keys:","Country-dependant parameter","Country  specific user-input cells with default data that user can adjust by manually entering new data. Enter the country specific inputs below",null,null,null,"No adaptation is needed","Input cells with default data that no adaptation is needed either because cells are not country specific or are autamatically updated"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Source"]
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{"sheet":"Age-gender distribution","index":15,"n_rows":97,"n_cols":30,"rows_kept":97,"cut":false,"hidden":false,"merged":[[3,12,3,15],[2,3,2,9],[5,5,18,5],[19,5,32,5],[3,1,3,5],[3,7,3,9]]}
["The Societal Impact of early intensified treatment in type 2 diabetic patients"]
["Age and gender distribution simulation",null,null,null,"Table of content","Results"]
[]
[null,"Simulated Population Distribution",null,null,null,null,null,"Simulated Distribution COMBO (M+V)",null,null,null,null,"Simulated Distribution MONO (M+P)",null,null,null,null,"Trial Data COMBO (M+V)",null,null,"Check"]
[null,"Therapy","Gender","Age","Proportion","Check",null,"Age","Male","Female","Total",null,"Age","Male","Female","Total",null,"Sex","n","%",null,null,null,null,null,null,null,null,null,"Source"]
[null,"M+V","Male","10-19",{"$f":"SUM(I6:I15)","v":6.0385430680986939E-5},{"$f":"SUM(E6:E19)","v":0.99999816599562796},null,10,{"$f":"_xlfn.NORM.DIST(H6,$S$10,$S$11,FALSE)*$T$7","v":3.9893830747388089E-7},{"$f":"_xlfn.NORM.DIST(H6,$S$10,$S$11,FALSE)*$T$6","v":4.7978043145537222E-7},{"$f":"SUM(I6:J6)","v":8.7871873892925311E-7},null,10,{"$f":"_xlfn.NORM.DIST(M6,$S$19,$S$20,FALSE)*$T$16","v":1.6648809062743315E-7},{"$f":"_xlfn.NORM.DIST(M6,$S$19,$S$20,FALSE)*$T$15","v":1.7537657185189574E-7},{"$f":"SUM(N6:O6)","v":3.4186466247932889E-7},null,"Female",545,0.54600000000000004,null,null,null,null,null,null,null,null,null,"Matthews, D. R. et al. Glycaemic durability of an early combination therapy with vildagliptin and metformin versus sequential metformin monotherapy in newly diagnosed type 2 diabetes (VERIFY): a 5-year, multicentre, randomised, double-blind trial. The Lancet 394, 1519–1529 (2019). Table 1. "]
[null,"M+V","Male","20-29",{"$f":"SUM(I16:I25)","v":2.1134344772528531E-3},null,null,11,6.4671731348858227E-7,7.7777016115587213E-7,1.4244874746444544E-6,null,11,2.8032622796603006E-7,2.9529230995189611E-7,5.7561853791792617E-7,null,"Male",453,0.45400000000000001]
[null,"M+V","Male","30-39",{"$f":"SUM(I26:I35)","v":2.6009480583281196E-2},null,null,12,1.0368384817710504E-6,1.2469467203678272E-6,2.2837852021388774E-6,null,12,4.6645871914400992E-7,4.9136205938578463E-7,9.5782077852979449E-7]
[null,"M+V","Male","40-49",{"$f":"SUM(I36:I45)","v":0.11438973521700893},null,null,13,1.6439764802060821E-6,1.9771170885297817E-6,3.6210935687358636E-6,null,13,7.6706403226787354E-7,8.0801611612611743E-7,1.575080148393991E-6,null,"Age (years)"]
[null,"M+V","Male","50-59",{"$f":"SUM(I46:I55)","v":0.18213379487865453},null,null,14,2.5779112704162493E-6,3.1003073868882649E-6,5.6782186573045146E-6,null,14,1.2465765253743203E-6,1.3131288655380419E-6,2.5597053909123622E-6,null,"Mean",54.1,null,{"$f":"SUMPRODUCT(H14:H96,K14:K96)","v":54.099062567265129}]
[null,"M+V","Male","60-69",{"$f":"SUM(I56:I65)","v":0.10549256433950648},null,null,15,3.9978657225853415E-6,4.8080059130651903E-6,8.8058716356505327E-6,null,15,2.0020512517404501E-6,2.1089369448518496E-6,4.1109881965922997E-6,null,"SD",9.5]
[null,"M+V","Male",">70",{"$f":"SUM(I66:I96)","v":2.3799772435630112E-2},null,null,16,6.1316352757024724E-6,7.3741692963294061E-6,1.3505804572031879E-5,null,16,3.1776082862564905E-6,3.3472547245371246E-6,6.5248630107936151E-6]
[null,"M+V","Female","10-19",{"$f":"SUM(J6:J15)","v":7.2622125885063587E-5},null,null,17,9.300628504524086E-6,1.1185337364471698E-5,2.0485965868995784E-5,null,17,4.9841883889264112E-6,5.2502846889512306E-6,1.0234473077877642E-5,null,"Trial Data MONO (M+P)"]
[null,"M+V","Female","20-29",{"$f":"SUM(J16:J25)","v":2.5417075431278806E-3},null,null,18,1.3951989927297142E-5,1.6779265419172334E-5,3.0731255346469474E-5,null,18,7.7260490401994731E-6,8.1385280443990344E-6,1.5864577084598508E-5,null,"Sex","n","%"]
[null,"M+V","Female","30-39",{"$f":"SUM(J26:J35)","v":3.1280124225708229E-2},null,null,19,2.0698929397522058E-5,2.489342610362785E-5,4.5592355501149907E-5,null,19,1.1835575857968252E-5,1.2467454651206804E-5,2.4303030509175055E-5,null,"Female",515,0.51300000000000001]
[null,"M+V","Female","40-49",{"$f":"SUM(J36:J45)","v":0.13757003398345127},null,null,20,3.0370188335119248E-5,3.6524499627698478E-5,6.6894687962817722E-5,null,20,1.7918029517070435E-5,1.88746388958052E-5,3.6792668412875636E-5,null,"Male",488,0.48699999999999999]
[null,"M+V","Female","50-59",{"$f":"SUM(J46:J55)","v":0.21904196476595894},null,null,21,4.4069179006179333E-5,5.2999497218885279E-5,9.7068676225064618E-5,null,21,2.680772894065302E-5,2.8238942395390141E-5,5.5046671336043161E-5]
[null,"M+V","Female","60-69",{"$f":"SUM(J56:J65)","v":0.12686991217923027},null,null,22,6.3242686086955168E-5,7.6058384589157541E-5,1.3930107067611271E-4,null,22,3.9636812387020493E-5,4.1752946107888115E-5,8.1389758494908608E-5,null,"Age (years)"]
[null,"M+V","Female",">70",{"$f":"SUM(J66:J96)","v":2.8622633810251204E-2},null,null,23,8.9758074517252276E-5,1.0794693543264261E-4,1.9770500994989489E-4,null,23,5.7917037596837957E-5,6.1009117632808772E-5,1.1892615522964673E-4,null,"Mean",54.6,null,{"$f":"SUMPRODUCT(M14:M96,P14:P96)","v":54.599548164687477}]
[null,"M+P","Male","10-19",{"$f":"SUM(N6:N15)","v":3.2652386420470747E-5},{"$f":"SUM(E21:E33)","v":0.99996658005352412},null,24,1.2598667681949162E-4,1.5151701661551196E-4,2.7750369343500355E-4,null,24,8.363400231308487E-5,8.8099061984830678E-5,1.7173306429791555E-4,null,"SD",9.1999999999999993]
[null,"M+P","Male","20-29",{"$f":"SUM(N16:N25)","v":1.511162354272637E-3},null,null,25,1.7488943970701045E-4,2.1032959048464253E-4,3.8521903019165301E-4,null,25,1.1935162667683826E-4,1.2572358210517049E-4,2.4507520878200875E-4]
[null,"M+P","Male","30-39",{"$f":"SUM(N26:N35)","v":2.29439238848918E-2},null,null,26,2.4009904077024167E-4,2.8875347193954175E-4,5.2885251270978339E-4,null,26,1.683227144062938E-4,1.7730914269081872E-4,3.4563185709711252E-4,null,"Source: Matthew et al. 2019, Table 1"]
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[null,"M+P","Male","50-59",{"$f":"SUM(N46:N55)","v":0.20130712341719798},null,null,28,4.3773141945986524E-4,5.264347026984283E-4,9.6416612215829349E-4,null,28,3.2313072700947105E-4,3.4038205945761529E-4,6.6351278646708633E-4]
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[null,"M+P","Female","30-39",{"$f":"SUM(O26:O35)","v":2.4168856166220731E-2},null,null,33,1.6182243536348108E-3,1.946146469349354E-3,3.5643708229841651E-3,null,33,1.3417549731402946E-3,1.4133887088726305E-3,2.7551436820129251E-3]
[null,"M+P","Female","40-49",{"$f":"SUM(O36:O45)","v":0.12275764945241502},null,null,34,2.0331459402955399E-3,2.4451490823818606E-3,4.4782950226774001E-3,null,34,1.7216266210530553E-3,1.8135409786452102E-3,3.5351675996982655E-3]
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[null,"M+P","Female","60-69",{"$f":"SUM(O56:O65)","v":0.12542041446094948},null,null,36,3.1045010679229034E-3,3.7336070112024347E-3,6.8381080791253381E-3,null,36,2.7357552765580372E-3,2.8818120264358787E-3,5.6175673029939159E-3,null,null,158301.15035000001]
[null,"M+P","Female",">70",{"$f":"SUM(O66:O96)","v":2.6971923790446967E-2},null,null,37,3.7729865124848361E-3,4.5375564665566534E-3,8.3105429790414891E-3,null,37,3.3880496487083108E-3,3.5689311494607051E-3,6.9569807981690159E-3,null,null,90379.797531000004]
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{"sheet":"Societal Impact_Single Patient","index":23,"n_rows":67,"n_cols":176,"rows_kept":67,"cut":false,"hidden":false,"merged":[[1,7,1,11],[1,13,1,17],[1,19,1,23],[1,117,1,121],[1,25,1,29],[1,31,1,35],[1,37,1,41],[1,43,1,47],[1,49,1,53],[1,81,1,85],[1,87,1,91],[1,93,1,97],[1,99,1,103],[1,105,1,109],[1,111,1,115],[1,56,1,60],[1,171,1,175],[1,123,1,127],[1,129,1,133],[1,135,1,139],[1,141,1,145],[1,147,1,151],[1,153,1,157],[1,62,1,66],[1,68,1,72],[1,74,1,78],[1,159,1,163],[1,165,1,169]]}
[]
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{"sheet":"95% CI","index":24,"n_rows":26,"n_cols":12,"rows_kept":26,"cut":false,"hidden":true,"merged":[]}
[]
[null,"Parameter","Base Case","SD","Sample Size","Confidence Coeff.","Margin of Error","Lower Bound","Upper Bound",null,null,"Legend"]
[null,"Return to work_stroke",0.44,null,117,1.96]
[null,"Absenteeism_stroke",0.2283464566929134,null,31,1.96,null,null,null,null,null,"will not be varied in DSA"]
[null,"Presenteeism_stroke",3.5714285714285712E-2,null,31,1.96,null,null,null,null,null,"auxilary calculation needed"]
[null,"Activity restriction_stroke",{"$f":"C26","v":0.6333333333333333},null,null,1.96,null,{"$f":"H26","v":0.64134773618475793},{"$f":"I26","v":0.6254998562136399}]
[null,"Return to work_MI",0.64200000000000002,null,81,1.96]
[null,"Absenteeism_MI",5.5E-2,0.17899999999999999,291,1.96,{"$f":"(F8*D8)/(E8^0.5)","v":2.0566605033687107E-2},{"$f":"C8-G8","v":3.4433394966312897E-2},{"$f":"C8+G8","v":7.5566605033687104E-2}]
[null,"Presenteeism_MI",0.18,0.253,291,1.96,2.9069000410742115E-2,0.15093099958925787,0.20906900041074211]
[null,"Activity restriction_MI",0.38,0.32200000000000001,1982,1.96,1.417620934533007E-2,0.36582379065466991,0.3941762093453301]
[null,"Return to work_HF",0.72950000000000004,null,11021,1.96]
[null,"Absenteeism_HF",8.2000000000000003E-2,0.23899999999999999,104,1.96,{"$f":"(F12*D12)/(E12^0.5)","v":4.5934321172065466E-2},3.6065678827934537E-2,0.12793432117206546]
[null,"Presenteeism_HF",0.22700000000000001,0.26300000000000001,104,1.96,5.0546972670515562E-2,0.17645302732948445,0.27754697267051559]
[null,"Activity restriction_HF",0.50600000000000001,0.317,915,1.96,2.0540205606049754E-2,0.48545979439395026,0.52654020560604975]
[null,"Return to work_Neuropathy",1,null,null,1.96]
[null,"Absenteeism_Neuropathy",0.26040000000000002,0.27050000000000002,41,1.96,8.2800205078101166E-2,0.17759979492189887,0.34320020507810117]
[null,"Presenteeism_Neuropathy",0.59650000000000003,0.40679999999999999,41,1.96,0.12452171321911849,0.47197828678088155,0.72102171321911857]
[null,"Activity restriction_Neuropathy",0.60440000000000005,0.30030000000000001,41,1.96,9.1922002162490871E-2,0.51247799783750914,0.69632200216249096]
[null,"Return to work_Nephropathy",1,null,null,1.96]
[null,"Absenteeism_Nephropathy",0.18,null,120,1.96]
[null,"Presenteeism_Nephropathy",0.28999999999999998,null,120,1.96]
[null,"Activity restriction_Nephropathy",0.53,null,300,1.96]
[]
[null,"moderate to vigorous working hours/ week (healthy)",3,0.4,524,1.96,{"$f":"(F24*D24)/(E24^0.5)","v":3.4249199021112689E-2},{"$f":"C24-G24","v":2.9657508009788871},{"$f":"C24+G24","v":3.0342491990211129}]
[null,"moderate to vigorous working hours/ week (stroke)",1.1000000000000001,0.3,262,1.96,{"$f":"(F25*D25)/(E25^0.5)","v":3.6326761317054666E-2},{"$f":"C25-G25","v":1.0636732386829455},{"$f":"C25+G25","v":1.1363267613170547}]
[null,"calculated activity restriction_stroke",{"$f":"1-(C25/C24)","v":0.6333333333333333},null,null,null,null,{"$f":"1-(H25/H24)","v":0.64134773618475793},0.6254998562136399]