Trial reportAlcoholism, clinical and experimental research2012
Simultaneous modeling of the impact of treatments on alcohol consumption and quality of life in the COMBINE study: a coupled hidden Markov analysis.
Trial report in Alcoholism, clinical and experimental research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Mechanisms of quality-of-life improvement in treatment for alcohol use disorder.Journal of consulting and clinical psychology · 2022Trial
- Modeling longitudinal drinking data in clinical trials: an application to the COMBINE study.Drug and alcohol dependence · 2013Trial
- A systematic review of operational research modelling for alcohol consumption and its consequences.Health systems (Basingstoke, England) · 2026Review
- Quality of life measures in treatment for active substance misuse: a scoping review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Bayesian joint modelling of longitudinal data on abstinence, frequency and intensity of drinking in alcoholism trials.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2018Article
- An exploration of the dynamic longitudinal relationship between mental health and alcohol consumption: a prospective cohort study.BMC medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundClinical trials for alcoholism have historically regarded alcohol consumption as the primary outcome. In a subset of trials, quality of life (QOL) has been considered as a secondary outcome. Joint latent-variable modeling techniques may provide a more accurate and powerful simultaneous analysis of primary and secondary outcomes in clinical trials. The goal of this study was to evaluate longitudinal associations between treatment status, alcohol consumption, and QOL in the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) study.
methodsA total of 1,383 alcohol-dependent patients were randomized to 9 treatment groups. Percent heavy drinking days (PHDD) and health-related QOL from the 30 days preceding baseline, week 16, and week 52 were calculated using the Form 90 and the Medical Outcomes Study Health Survey Short Form-12 (SF-12), respectively. Latent profile analysis (LPA) was conducted to determine an appropriate number of latent states to represent PHDD and QOL. Subsequently, univariate and coupled hidden Markov models (for PHDD and SF-12 mental health, and PHDD and SF-12 physical) were fit to the data.
resultsLPA suggested that PHDD should be represented by 3 latent states and that each SF-12 scale should be represented by 2 states. Joint modeling results suggested that (i) naltrexone significantly predicted decreased PHDD (p < 0.05), and marginally predicted improved mental health QOL via decreased PHDD (p < 0.10), and (ii) that the combinations of naltrexone and combined behavioral intervention (CBI), and acamprosate and CBI, each predicted significantly improved physical QOL (p < 0.05), and marginally predicted decreased PHDD via improved physical QOL (p < 0.10).
conclusionsThis study illustrates a powerful and novel statistical approach for simultaneously evaluating the impact of treatments on primary and secondary outcomes in clinical trials. This study also suggests that behavioral interventions may impact drinking behavior through their ameliorative effects on QOL.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.