Journal article
E. Grodin, Suzanna Donato, Han Du, R. Green, S. Bujarski, L. Ray
Alcohol and alcoholism, 2022
Alcohol and alcoholism, 2022
Semantic Scholar
DOI
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APA
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Grodin, E., Donato, S., Du, H., Green, R., Bujarski, S., & Ray, L. (2022). A Meta-Regression of Trial Features Predicting the Effects of Alcohol Use Disorder Pharmacotherapies on Drinking Outcomes in Randomized Clinical Trials: A Secondary Data Analysis. Alcohol and Alcoholism.
Chicago/Turabian
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Grodin, E., Suzanna Donato, Han Du, R. Green, S. Bujarski, and L. Ray. “A Meta-Regression of Trial Features Predicting the Effects of Alcohol Use Disorder Pharmacotherapies on Drinking Outcomes in Randomized Clinical Trials: A Secondary Data Analysis.” Alcohol and alcoholism (2022).
MLA
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Grodin, E., et al. “A Meta-Regression of Trial Features Predicting the Effects of Alcohol Use Disorder Pharmacotherapies on Drinking Outcomes in Randomized Clinical Trials: A Secondary Data Analysis.” Alcohol and Alcoholism, 2022.
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@article{e2022a,
title = {A Meta-Regression of Trial Features Predicting the Effects of Alcohol Use Disorder Pharmacotherapies on Drinking Outcomes in Randomized Clinical Trials: A Secondary Data Analysis.},
year = {2022},
journal = {Alcohol and alcoholism},
author = {Grodin, E. and Donato, Suzanna and Du, Han and Green, R. and Bujarski, S. and Ray, L.}
}
Abstract
AIMS To test whether two critical design features, inclusion criteria of required pre-trial abstinence and pre-trial alcohol use disorder (AUD) diagnosis, predict the likelihood of detecting treatment effects in AUD pharmacotherapy trials.
METHODS This secondary data analysis used data collected from a literature review to identify randomized controlled pharmacotherapy trials for AUD. Treatment outcomes were selected into abstinence and no heavy drinking. Target effect sizes were calculated for each outcome and a meta-regression was conducted to test the effects of required pre-trial abstinence, required pre-trial AUD diagnosis, and their interaction on effect sizes. A sub-analysis was conducted on trials, which included FDA-approved medications for AUD.
RESULTS In total, 118 studies testing 19 medications representing 21,032 treated participants were included in the meta-regression analysis. There was no significant effect of either predictor on abstinence or no heavy drinking outcomes in the full analysis or in the sub-study of FDA-approved medications.
CONCLUSION By examining these design features in a quantitative, rather than qualitative, fashion the present study advances the literature and shows that requiring AUD diagnosis or requiring pre-trial abstinence do not impact the likelihood of a significant medication effect in the trial.
