Models to predict relapse in psychosis: A systematic review.

ABSTRACT:

Background

There is little evidence on the accuracy of psychosis relapse prediction models. Our objective was to undertake a systematic review of relapse prediction models in psychosis.

Method

We conducted a literature search including studies that developed and/or validated psychosis relapse prediction models, with or without external model validation. Models had to target people with psychosis and predict relapse. The key databases searched were; Embase, Medline, Medline In-Process Citations & Daily Update, PsychINFO, BIOSIS Citation Index, CINAHL, and Science Citation Index, from inception to September 2016. Prediction modelling studies were assessed for risk of bias and applicability using the PROBAST tool.

Results

There were two eligible studies, which included 3

SUBMITTER: Sullivan S 

PROVIDER: S-EPMC5608199 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature