Ryoko Susukida1,2, Rosa M Crum1,3,4, Hwanhee Hong1, Elizabeth A Stuart1,5,6, Ramin Mojtabai1,4. 1. Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. 2. Department of Mental Health Policy and Evaluation, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan. 3. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. 4. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. 5. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. 6. Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Abstract
OBJECTIVES: Few head-to-head comparisons of cocaine dependence medications exist, and combining data from different randomized controlled trials (RCTs) is fraught with methodological challenges including limited generalizability of the RCT findings. This study applied a novel meta-analytic approach to data of cocaine dependence medications. METHODS: Data from 4 placebo-controlled RCTs (Reserpine, Modafinil, Buspirone, and Ondansetron) were obtained from the National Institute of Drug Abuse Clinical Trials Network (n = 456). The RCT samples were weighted to resemble treatment-seeking patients (Treatment Episodes Data Set-Admissions) and individuals with cocaine dependence in general population (National Survey on Drug Use and Health). We synthesized the generalized outcomes with pairwise meta-analysis using individual-level data and compared the generalized outcomes across the 4 RCTs with network meta-analysis using study-level data. RESULTS: Weighting the data by the National Survey on Drug Use and Health generalizability weight made the overall population effect on retention significantly larger than the RCT sample effect. However, there was no significant difference between the population effect and the RCT sample effect on abstinence. Weighting changed the ranking of the effectiveness across treatments. CONCLUSIONS: Applying generalizability weights to meta-analytic studies is feasible and potentially provides a useful tool in assessing comparative effectiveness of treatments for substance use disorders in target populations.
OBJECTIVES: Few head-to-head comparisons of cocaine dependence medications exist, and combining data from different randomized controlled trials (RCTs) is fraught with methodological challenges including limited generalizability of the RCT findings. This study applied a novel meta-analytic approach to data of cocaine dependence medications. METHODS: Data from 4 placebo-controlled RCTs (Reserpine, Modafinil, Buspirone, and Ondansetron) were obtained from the National Institute of Drug Abuse Clinical Trials Network (n = 456). The RCT samples were weighted to resemble treatment-seeking patients (Treatment Episodes Data Set-Admissions) and individuals with cocaine dependence in general population (National Survey on Drug Use and Health). We synthesized the generalized outcomes with pairwise meta-analysis using individual-level data and compared the generalized outcomes across the 4 RCTs with network meta-analysis using study-level data. RESULTS: Weighting the data by the National Survey on Drug Use and Health generalizability weight made the overall population effect on retention significantly larger than the RCT sample effect. However, there was no significant difference between the population effect and the RCT sample effect on abstinence. Weighting changed the ranking of the effectiveness across treatments. CONCLUSIONS: Applying generalizability weights to meta-analytic studies is feasible and potentially provides a useful tool in assessing comparative effectiveness of treatments for substance use disorders in target populations.
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Authors: Ryoko Susukida; Rosa M Crum; Hwanhee Hong; Elizabeth A Stuart; Ramin Mojtabai Journal: Int J Methods Psychiatr Res Date: 2018-02-21 Impact factor: 4.182