A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits.

Translational Psychiatry
Tesfa Dejenie HabtewoldBehrooz Z Alizadeh

Abstract

To tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often applied to identify subtypes of its symptoms and cognitive deficits. However, a systematic review on this topic is lacking. The objective of this review was to summarize the evidence obtained from longitudinal and cross-sectional data-driven studies in positive and negative symptoms and cognitive deficits in patients with schizophrenia spectrum disorders, their unaffected siblings and healthy controls or individuals from general population. Additionally, we aimed to highlight methodological gaps across studies and point out future directions to optimize the translatability of evidence from data-driven studies. A systematic review was performed through searching PsycINFO, PubMed, PsycTESTS, PsycARTICLES, SCOPUS, EMBASE and Web of Science electronic databases. Both longitudinal and cross-sectional studies published from 2008 to 2019, which reported at least two statistically derived clusters or trajectories were included. Two reviewers independently screened and extracted the data. In this review, 53 studies (19 longitudinal and 34 cross-sectional) that conducted among 17,822 patients, 8729 unaffected siblings and 5520 controls or general popul...Continue Reading

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Citations

Feb 7, 2021·Schizophrenia Bulletin·Mathilde AntoniadesAndré Schmidt
Mar 7, 2021·Journal of Personalized Medicine·Jinya SatoToshiaki Onitsuka
Mar 8, 2021·Schizophrenia Research·Brandon K AshinoffGuillermo Horga
Jun 20, 2021·Social Psychiatry and Psychiatric Epidemiology·Yohannes Gebreegziabhere HaileAtalay Alem
Aug 6, 2021·Behavioural Brain Research·Gary RemingtonOfer Agid

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