The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic Review
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comunitat-uji-handle2:10234/8033
comunitat-uji-handle3:10234/8636
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Title
The Contribution of “Individual Participant Data” Meta-Analyses of Psychotherapies for Depression to the Development of Personalized Treatments: A Systematic ReviewAuthor (s)
Date
2022-01-11Publisher
MDPIISSN
2075-4426Bibliographic citation
Cuijpers, Pim, Marketa Ciharova, Soledad Quero, Clara Miguel, Ellen Driessen, Mathias Harrer, Marianna Purgato, David Ebert, and Eirini Karyotaki. 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, no. 1: 93. https://doi.org/10.3390/jpm12010093Type
info:eu-repo/semantics/articleVersion
info:eu-repo/semantics/publishedVersionSubject
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 ... [+]
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. [-]
Is part of
J. Pers. Med. 2022, 12, 93. https://doi.org/10.3390/jpm12010093Funder Name
Netherlands Organization of Scientific Research (NWO) | Instituto de Salud Carlos III
Project code
Veni.195.215 6806 | ISC III CB06 03/0052
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info:eu-repo/semantics/openAccess
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- PSB_Articles [1321]
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