Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria.

ABSTRACT:

Objectives

This study aims to review studies developing or validating a prediction model for transition to psychosis in individuals meeting At Risk Mental State (ARMS) criteria focussing on predictors that can be obtained as part of standard clinical practice. Prediction of transition is crucial to facilitating identification of patients who would benefit from cognitive behavioural therapy and, conversely, those that would benefit from less costly and less-intensive regular mental state monitoring. The review aims to determine whether prediction models rated as low risk of bias exist and, if not, what further research is needed within the field.

Design

Bibliographic databases (PsycINFO, Medline, EMBASE, CINAHL) were searched using index terms relating to the clinical field a

SUBMITTER: Hunt A 

PROVIDER: S-EPMC11480010 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature