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March 25, 2026The British Journal of Psychiatry0 citationsOpen Access

Predicting early clinical recovery in first-episode psychosis: development and external validation of a clinically interpretable multivariable model

LJL. JuliàVFV. Ortíz-García de la FozÁGÁ. González-Segura

Key Points

  • This research aims to develop and validate a model that predicts early clinical recovery in individuals experiencing first-episode psychosis.
  • Developed a logistic regression model using routine clinical and cognitive variables.
  • Validated the model externally to ensure its applicability across different populations.
  • Utilized standard statistical techniques to assess the model's predictive power.
  • The model demonstrated acceptable generalizability to predict early recovery.
  • It highlighted the limitations of relying solely on genetic predictors for individualized treatment.

Abstract

A simple, interpretable logistic regression model based on routine clinical and cognitive variables can predict early recovery in FEP with acceptable generalisability. These findings support the use of transparent, clinically grounded models in early psychosis care and highlight the current limitations of genetic predictors for individualised treatment.

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Cite This Study

Julià et al. (2026) studied this question.

synapsesocial.com/papers/69c37b81b34aaaeb1a67e0c3https://doi.org/10.1192/bjp.2026.10581
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