2010
DOI: 10.1371/journal.pone.0008580
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A Novel Method to Adjust Efficacy Estimates for Uptake of Other Active Treatments in Long-Term Clinical Trials

Abstract: BackgroundWhen rates of uptake of other drugs differ between treatment arms in long-term trials, the true benefit or harm of the treatment may be underestimated. Methods to allow for such contamination have often been limited by failing to preserve the randomization comparisons. In the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study, patients were randomized to fenofibrate or placebo, but during the trial many started additional drugs, particularly statins, more so in the placebo group. T… Show more

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Cited by 18 publications
(24 citation statements)
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“…Nor did insulin use or differences in statin uptake between the sexes explain the difference in LDL-cholesterol and fenofibrate response (see ESM Fig. 1 and Simes et al [11]). Uptake of statin therapy during the trial may have confounded the treatment effects.…”
Section: Discussionmentioning
confidence: 98%
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“…Nor did insulin use or differences in statin uptake between the sexes explain the difference in LDL-cholesterol and fenofibrate response (see ESM Fig. 1 and Simes et al [11]). Uptake of statin therapy during the trial may have confounded the treatment effects.…”
Section: Discussionmentioning
confidence: 98%
“…HRs and 95% CIs were generated from Cox proportional-hazards models [13]. Analyses were adjusted for covariates (including ethnicity, age, diabetes duration, BMI, waist-to-hip ratio, systolic and diastolic blood pressure, smoking, prior CVD, prior coronary revascularisation, hypertension, microvascular disease, baseline total cholesterol, LDL-cholesterol, HDL-cholesterol, creatinine, homocysteine, dyslipidaemia, microalbuminuria, macroalbuminuria, use of metformin, and use of sulfonylurea) and on-trial statin uptake [11]. ANOVA methods were used to assess the treatment-effect difference in the change in lipid and apolipoprotein levels.…”
Section: Methodsmentioning
confidence: 99%
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“…In addition, we estimated the efficacy of aspirin in a fully adherent group by adjusting the treatment effect in the intention-to-treat analysis for the nonadherence rates averaged over the study period; the nonadherence rates were defined as the proportion of patients assigned to aspirin who discontinued it and the proportion of patients assigned to placebo who initiated antiplatelet or anticoagulation treatment. 17 We combined the results from the ASPIRE and WARFASA studies by performing a meta-analysis of the log hazard ratios for the treatment effect on vascular events from each study weighted by their inverse variances. 18 All analyses were performed with the use of SAS software, version 9.3 (SAS Institute).…”
Section: Discussionmentioning
confidence: 99%