A systematic review and narrative synthesis of data-driven studies in schizophrenia symptoms and cognitive deficits.
Journal
Translational psychiatry
ISSN: 2158-3188
Titre abrégé: Transl Psychiatry
Pays: United States
ID NLM: 101562664
Informations de publication
Date de publication:
21 07 2020
21 07 2020
Historique:
received:
06
03
2020
accepted:
03
07
2020
revised:
24
06
2020
entrez:
23
7
2020
pubmed:
23
7
2020
medline:
22
6
2021
Statut:
epublish
Résumé
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 population were included. Most longitudinal studies found four trajectories that characterized by stability, progressive deterioration, relapsing and progressive amelioration of symptoms and cognitive function. Cross-sectional studies commonly identified three clusters with low, intermediate (mixed) and high psychotic symptoms and cognitive profiles. Moreover, identified subgroups were predicted by numerous genetic, sociodemographic and clinical factors. Our findings indicate that schizophrenia symptoms and cognitive deficits are heterogeneous, although methodological limitations across studies are observed. Identified clusters and trajectories along with their predictors may be used to base the implementation of personalized treatment and develop a risk prediction model for high-risk individuals with prodromal symptoms.
Identifiants
pubmed: 32694510
doi: 10.1038/s41398-020-00919-x
pii: 10.1038/s41398-020-00919-x
pmc: PMC7374614
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
244Subventions
Organisme : Universitair Medisch Centrum Groningen (University Medical Center Groningen)
ID : 616163
Pays : International
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