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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.

2023-10-16

Abstract excerpt

<p>Background: 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 recommendations for depression and reduce this disorder’s vast personal and societal costs. <h4>Aims:</h4> We describe the protocol for a syste...

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Literature Corpus work
3eae1761-48b1-591b-a3b4-206918eed2ca
DOI
10.31234/osf.io/nua87
Open publication

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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.DOI 10.31234/osf.io/nua87
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