The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic Review

Cuijpers P, Ciharova M, Quero S, Miguel C, Driessen E, Harrer M, Purgato M, Ebert D, Karyotaki E (2022)

Publication Type: Journal article, Review article

Publication year: 2022

Journal

Journal of Personalized Medicine MDPI

Book Volume: 12

Article Number: 93

Journal Issue: 1

DOI: 10.3390/jpm12010093

Abstract

While randomized trials typically lack sufficient statistical power to identify predictors and moderators of outcome, ”individual participant data” (IPD) meta-analyses, which combine primary data of multiple randomized trials, can increase the statistical power to identify predictors and moderators of outcome. We conducted a systematic review of IPD meta-analyses on psychological treatments of depression to provide an overview of predictors and moderators identified. We included 10 (eight pairwise and two network) IPD meta-analyses. Six meta-analyses showed that higher baseline depression severity was associated with better outcomes, and two found that older age was associated with better outcomes. Because power was high in most IPD meta-analyses, non-significant findings are also of interest because they indicate that these variables are probably not relevant as predictors and moderators. We did not find in any IPD meta-analysis that gender, education level, or relationship status were significant predictors or moderators. This review shows that IPD meta-analyses on psychological treatments can identify predictors and moderators of treatment effects and thereby contribute considerably to the development of personalized treatments of depression.

Authors with CRIS profile

Mathias Harrer Lehrstuhl für Klinische Psychologie und Psychotherapie

Involved external institutions

Universitat Jaume I (UJI) ES Spain (ES) Radboud University Nijmegen NL Netherlands (NL) Vrije Universiteit Amsterdam (VU) / University Amsterdam NL Netherlands (NL) University of Verona / Università degli Studi di Verona IT Italy (IT) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Cuijpers, P., Ciharova, M., Quero, S., Miguel, C., Driessen, E., Harrer, M.,... Karyotaki, E. (2022). The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic Review. Journal of Personalized Medicine, 12(1). https://dx.doi.org/10.3390/jpm12010093

MLA:

Cuijpers, Pim, et al. "The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic Review." Journal of Personalized Medicine 12.1 (2022).

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