Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic review and individual participant data network meta-analysis.

Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic review and individual participant data network meta-analysis.

<h4>Background</h4>Various treatments are recommended as first-line options in practice guidelines for depression, but it is unclear which is most efficacious for a given person. Accurate individualized predictions of relative treatment effects are needed to optimize treatment recommenda...

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Main Authors: Ellen Driessen, Orestis Efthimiou, Frederik J Wienicke, Jasmijn Breunese, Pim Cuijpers, Thomas P A Debray, David J Fisher, Marjolein Fokkema, Toshiaki A Furukawa, Steven D Hollon, Anuj H P Mehta, Richard D Riley, Madison R Schmidt, Jos W R Twisk, Zachary D Cohen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0322124
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https://doi.org/10.1371/journal.pone.0322124

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