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Improved adherence adjustment in the Coronary Drug Project

Overview of attention for article published in Trials, March 2018
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Title
Improved adherence adjustment in the Coronary Drug Project
Published in
Trials, March 2018
DOI 10.1186/s13063-018-2519-5
Pubmed ID
Authors

Eleanor J. Murray, Miguel A. Hernán

Abstract

The survival difference between adherers and non-adherers to placebo in the Coronary Drug Project has been used to support the thesis that adherence adjustment in randomized trials is not generally possible and, therefore, that only intention-to-treat analyses should be trusted. We previously demonstrated that adherence adjustment can be validly conducted in the Coronary Drug Project using a simplistic approach. Here, we re-analyze the data using an approach that takes full advantage of recent methodological developments. We used inverse-probability weighted hazards models to estimate the 5-year survival and mortality risk when individuals in the placebo arm of the Coronary Drug Project adhere to at least 80% of the drug continuously or never during the 5-year follow-up period. Adjustment for post-randomization covariates resulted in 5-year mortality risk difference estimates ranging from - 0.7 (95% confidence intervals (CI), - 12.2, 10.7) to 4.5 (95% CI, - 6.3, 15.3) percentage points. Our analysis confirms that appropriate adjustment for post-randomization predictors of adherence largely removes the association between adherence to placebo and mortality originally described in this trial. ClinicalTrials.gov, Identifier: NCT00000482 . Registered retrospectively on 27 October 1999.

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Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 12%
Student > Ph. D. Student 6 10%
Professor 6 10%
Student > Bachelor 6 10%
Student > Master 6 10%
Other 10 17%
Unknown 17 29%
Readers by discipline Count As %
Medicine and Dentistry 16 28%
Nursing and Health Professions 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Computer Science 3 5%
Mathematics 3 5%
Other 8 14%
Unknown 19 33%