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

Perry, B I; Upthegrove, R; Crawford, O; Jang, S; Lau, E; McGill, I; Carver, E; Jones, P B; Khandaker, G M

Perry, B I; Upthegrove, R; Crawford, O; Jang, S; Lau, E; McGill, I; Carver, E; Jones, P B; Khandaker, G M.

Afiliação

Perry BI; Department of Psychiatry, University of Cambridge, Cambridge, UK.
Upthegrove R; Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
Crawford O; Institute for Mental Health, University of Birmingham, Birmingham, UK.
Jang S; University of Cambridge School of Clinical Medicine, Cambridge, UK.
Lau E; University of Cambridge School of Clinical Medicine, Cambridge, UK.
McGill I; University of Cambridge School of Clinical Medicine, Cambridge, UK.
Carver E; University of Cambridge School of Clinical Medicine, Cambridge, UK.
Jones PB; University of Cambridge School of Clinical Medicine, Cambridge, UK.
Khandaker GM; Department of Psychiatry, University of Cambridge, Cambridge, UK.

Acta Psychiatr Scand ; 142(3): 215-232, 2020 09.

Article em En | MEDLINE | ID: mdl-32654119

Assuntos

Doenças Cardiovasculares; Transtornos Psicóticos; Adolescente; Algoritmos; Doenças Cardiovasculares/epidemiologia; Humanos; Recém-Nascido; Transtornos Psicóticos/epidemiologia; Fatores de Risco

Palavras-chave

ALSPAC; algorithms; cardiometabolic risk; prediction; psychosis; systematic review

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Doenças Cardiovasculares Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Adolescent / Humans / Newborn Idioma: En Revista: Acta Psychiatr Scand Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

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