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预测酒精使用障碍药物疗法在随机临床试验中对饮酒结果影响的试验特征的Meta回归分析:一项二次数据分析

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.

作者信息

Grodin Erica N, Donato Suzanna, Du Han, Green ReJoyce, Bujarski Spencer, Ray Lara A

机构信息

Department of Psychology, University of California, 502 Portola Plaza, Los Angeles, California 90095 USA.

Department of Psychiatry and Biobehavioral Sciences. University of California, 757 Westwood Plaza #4, Los Angeles, CA 90095 USA.

出版信息

Alcohol Alcohol. 2022 Sep 10;57(5):589-594. doi: 10.1093/alcalc/agac004.

DOI:10.1093/alcalc/agac004
PMID:35229869
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9465523/
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.

摘要

目的

检验两个关键设计特征,即所需的试验前戒酒纳入标准和试验前酒精使用障碍(AUD)诊断,是否能预测在AUD药物治疗试验中检测到治疗效果的可能性。

方法

这项二次数据分析使用了从文献综述中收集的数据,以确定AUD的随机对照药物治疗试验。治疗结果分为戒酒和无重度饮酒。计算每个结果的目标效应大小,并进行元回归以检验所需的试验前戒酒、所需的试验前AUD诊断及其相互作用对效应大小的影响。对包括FDA批准的AUD药物的试验进行了亚分析。

结果

元回归分析总共纳入了118项测试19种药物的研究,涉及21,032名接受治疗的参与者。在全面分析或FDA批准药物的子研究中,两种预测因素对戒酒或无重度饮酒结果均无显著影响。

结论

通过以定量而非定性的方式研究这些设计特征,本研究推进了文献研究,并表明要求进行AUD诊断或要求试验前戒酒不会影响试验中药物显著疗效的可能性。