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Examining the Impact of Trial Length on Detecting Medication Effects for Alcohol Use Disorder: A Meta-Regression Study.

Source: PubMed, NCBI / U.S. National Library of Medicine

Alcohol, clinical & experimental researchBelnap Malia A, Witkiewitz Katie, Schacht Joseph P, et al.Published 6/1/2026Last synced 6/12/2026Status: syncedPMID: 42283804DOI: 10.1111/acer.70306

The U.S. Food and Drug Administration (FDA) recommends a minimum duration of 6&#x2009;months for randomized controlled trials (RCTs) evaluating pharmacotherapies for alcohol use disorder (AUD). The relationship between trial length and treatment effects is not well understood. The current study conducted meta-regression analyses of RCTs for AUD to examine the association between trial length and observed medication effect sizes in clinical trials. This secondary data analysis utilized data from a systematic literature review that identified 139 pharmacotherapy RCTs for AUD conducted between 1985 and 2023. Meta-regressions were conducted using the metafor package in R to examine whether shorter (<&#x2009;12&#x2009;weeks) or longer (>&#x2009;12&#x2009;weeks) trials differed in observed medication effect sizes for abstinence- and drinking-based endpoints, relative to 12-week trials, which represented the median trial duration. Publication bias was addressed using a weight-function model. For abstinence-based endpoints, neither shorter (<&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;0.13, SE&#x2009;=&#x2009;0.21, p&#x2009;=&#x2009;0.54) nor longer (>&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;0.11, SE&#x2009;=&#x2009;0.11, p&#x2009;=&#x2009;0.30) trials differed significantly from the 12-week reference group in observed medication effect sizes. Similarly, for drinking-based endpoints, neither shorter (<&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;-0.07, SE&#x2009;=&#x

Abstract

The U.S. Food and Drug Administration (FDA) recommends a minimum duration of 6&#x2009;months for randomized controlled trials (RCTs) evaluating pharmacotherapies for alcohol use disorder (AUD). The relationship between trial length and treatment effects is not well understood. The current study conducted meta-regression analyses of RCTs for AUD to examine the association between trial length and observed medication effect sizes in clinical trials. This secondary data analysis utilized data from a systematic literature review that identified 139 pharmacotherapy RCTs for AUD conducted between 1985 and 2023. Meta-regressions were conducted using the metafor package in R to examine whether shorter (<&#x2009;12&#x2009;weeks) or longer (>&#x2009;12&#x2009;weeks) trials differed in observed medication effect sizes for abstinence- and drinking-based endpoints, relative to 12-week trials, which represented the median trial duration. Publication bias was addressed using a weight-function model. For abstinence-based endpoints, neither shorter (<&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;0.13, SE&#x2009;=&#x2009;0.21, p&#x2009;=&#x2009;0.54) nor longer (>&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;0.11, SE&#x2009;=&#x2009;0.11, p&#x2009;=&#x2009;0.30) trials differed significantly from the 12-week reference group in observed medication effect sizes. Similarly, for drinking-based endpoints, neither shorter (<&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;-0.07, SE&#x2009;=&#x2009;0.09, p&#x2009;=&#x2009;0.39) nor longer (>&#x2009;12&#x2009;weeks; &#x3b2;&#x2009;=&#x2009;0.06, SE&#x2009;=&#x2009;0.05, p&#x2009;=&#x2009;0.26) trials differed significantly from 12-week trials in observed medication effect sizes. All results remained nonsignificant after adjusting for publication bias. In sensitivity analyses restricted to trials with statistically significant effect sizes, trials >&#x2009;12&#x2009;weeks showed smaller estimated treatment effects compared to trials &#x2264;&#x2009;12&#x2009;weeks. Observed medication effect sizes did not differ significantly across trial lengths for abstinence and drinking-based endpoints, except for analyses restricted to trials with significant effect sizes, where there was an advantage for trials that were 12&#x2009;weeks or shorter. These findings inform efforts to optimize AUD RCT design.

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