Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.

ABSTRACT:

Objective

The present study reviews predictive models used to improve prediction of psychosis onset in individuals at clinical high risk for psychosis (CHR), using clinical, biological, neurocognitive, environmental, and combinations of predictors.

Methods

A systematic literature search on PubMed was carried out (from 1998 through 2019) to find all studies that developed or validated a model predicting the transition to psychosis in CHR subjects.

Results

We found 1,406 records. Thirty-eight of them met the inclusion criteria; 11 studies using clinical predictive models, seven studies using biological models, five studies using neurocognitive models, five studies using environmental models, and 18 studies using combinations of predictive models across different domains

SUBMITTER: Montemagni C 

PROVIDER: S-EPMC7105709 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature