Evaluating treatments for posttraumatic stress disorder, alcohol and other drug use disorders using meta-analysis of individual patient data: Design and methodology of a virtual clinical trial
Abstract
This paper describes Project Harmony, a Virtual Clinical Trial (VCT) funded by the National Institute on Alcohol Abuse and Alcoholism (NIAAA) to harmonize and analyze data from over 40 independent psychological, pharmacologic and/or combined pharmacological treatment studies for posttraumatic stress disorder and comorbid alcohol and other drug use disorders (PTSD/AOD). The study attends to three distinct analysis challenges: (1) variation in measurement of PTSD/AOD across studies, time, populations and reporters, (2) cross-study variation in treatment effect sizes and (3) non-randomized, cross-study variation in the classification of treatments (despite within-study randomization of treatment arms). To address these challenges, the study combines meta-analysis of individual patient data (MIPD), integrative data analysis (IDA) and propensity score weighting (PSW) to integrate raw data from these clinical trials. This protocol shows how this VCT analytic framework was used to (1) develop commensurate scale scores of PTSD and AOD severity when measures vary across studies, (2) compare the efficacy of evidence-based treatment models for PTSD/AOD, (3) test for potential mediators of treatment effects on AOD and PTSD across treatment models, and (4) explore individual- and study-level moderators to inform for whom each of the treatment models works best. The advantages of the general VCT approach are juxtaposed against the limitations of single randomized controlled trials and conventional meta-analysis.
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Individual patient data meta-analysis with propensity score weighting was used to analyze raw participant-level data from the four studies, using integrative data analysis to address variations in measurement across studies.
“To address limitations of pooling summaries of treatment effects, we used MIPD with propensity score weighting (PSW) to analyze raw, participant-level data from these four studies, using integrative data analysis (IDA) to address variations in measurement across studies (Morgan-López, Hien et al., 2022; Saavedra et al., 2021).”
From Cannabis use and trauma-focused treatment for co-occurring posttraumatic stress disorder and substance use disorders: A meta-analysis of individual patient data (2024) · cites this paper as Saavedra et al., 2021
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- Authors
- Saavedra, L. M., Morgan-López, A. A., Hien, D. A., López-Castro, T., Ruglass, L. M., Back, S. E., Fitzpatrick, S., Norman, S. B., Killeen, T. K., Ebrahimi, C. T., & Hamblen, J.
- Affiliations
- RTI International (US)
- Rutgers, The State University of New Jersey (US)
- City College of New York (US)
- Medical University of South Carolina (US)
- York University (US)
- University of California San Diego (US)
- Dartmouth College (US)
- Corresponding author
- Saavedra, Lissette M.
- ORCID
- Venue
- Contemporary Clinical Trials
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 107
- Pages
- 106479
- ISSN
- 1551-7144 (ISSN-L)
- OpenAlex
- W3173581237
- Cited by
- 31
- References
- 92
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 2 · 2023: 5 · 2022: 9
- FWCI
- 0.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Contemporary Clinical Trials (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (R01AA025853)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Posttraumatic Stress Disorder Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Clinical Psychology › Migration, Health and Trauma
- Keywords
- post-traumatic stress disorder, alcoholism, comorbid substance use disorders, virtual clinical trials, integrative data analysis, propensity score weighting, treatment effect heterogeneity, treatment moderators, treatment efficacy comparison
- MeSH terms
- Combined Modality Therapy, Humans, Stress Disorders, Post-Traumatic, Substance-Related Disorders
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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