Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis

Volume: 142, Issue: 3, Pages: 215 - 232
Published: Jul 29, 2020
Abstract
Cardiometabolic risk prediction algorithms are common in clinical practice. Young people with psychosis are at high risk for developing cardiometabolic disorders. We aimed to examine whether existing cardiometabolic risk prediction algorithms are suitable for young people with psychosis.We conducted a systematic review and narrative synthesis of studies reporting the development and validation of cardiometabolic risk prediction algorithms for...
Paper Details
Title
Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis
Published Date
Jul 29, 2020
Volume
142
Issue
3
Pages
215 - 232
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