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Prevalence of DSM-5 mixed features: A meta-analysis and systematic review

Authors
Na, Kyoung-SaeKang, Jae MyeongCho, Seo-Eun
Issue Date
Mar-2021
Publisher
ELSEVIER
Keywords
Bipolar disorder; Major depressive disorder; Meta-analysis; Prevalence; Systematic review
Citation
Journal of Affective Disorders, v.282, pp.203 - 210
Journal Title
Journal of Affective Disorders
Volume
282
Start Page
203
End Page
210
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80563
DOI
10.1016/j.jad.2020.12.149
ISSN
0165-0327
Abstract
Background: The definition of mixed features by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) remains controversal; however, there has been no systematic review of the prevalence of DSM-5 mixed features. We conducted a meta-analysis and systematic review to examine the prevalence of DSM-5-defined mixed features in major depressive episodes (MDE) and manic/hypomanic episodes. Methods: We systematically searched all literature types (i.e., observational, cross-sectional, cohort, retrospective chart review, and post-hoc analysis) in electronic databases including MEDLINE, Embase, CINAHL, PsycINFO, and Web of Science from 2013 to 2020. Results: A total of 17 studies with 20 samples were selected. The pooled prevalences of the mixed features in MDE and manic/hypomanic episodes were 11.6% (95% confidence interval [CI] = 7.9-16.7%) and 26.8 (95% CI = 17.0-39.5%), respectively. The prevalence of mixed features during major depressive disorder in East Asian countries was the lowest, which ranged from 0-2.2%. The subgroup analysis did not identify any influential factors for substantial heterogeneity. Most of the individual studies demonstrated moderate to high risk of bias. Conclusions: Despite the increasing attention and controversy surrounding DSM-5-defined mixed features, few studies have systematically estimated the prevalence. Future studies with appropriate design and sample sizes should measure the prevalence of mixed features during MDE and manic/hypomanic episodes. © 2020
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College of Medicine (Department of Medicine)
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