Prevalence of idiopathic REM behavior disorder: a systematic review and meta-analysis.

REM behavior disorder epidemiology meta-analysis prevalence

Journal

Sleep
ISSN: 1550-9109
Titre abrégé: Sleep
Pays: United States
ID NLM: 7809084

Informations de publication

Date de publication:
11 06 2021
Historique:
received: 27 11 2020
pubmed: 4 1 2021
medline: 1 7 2021
entrez: 3 1 2021
Statut: ppublish

Résumé

To provide an overall estimate of the prevalence of idiopathic REM Sleep Behavior Disorder (iRBD). Two investigators have independently searched the PubMed and Scopus databases for population-based studies assessing the prevalence of iRBD. Data about type of diagnosis (polysomnographic diagnosis, defined iRBD [dRBD]; clinical diagnosis, probable RBD [pRBD]), continent, age range of the screened population, quality of the studies, sample size, screening questionnaires, and strategies have been gathered. A random-effect model was used to estimate the pooled prevalence. Heterogeneity was investigated with subgroup analysis and meta-regression. From 857 articles found in the databases, 19 articles were selected for the systematic review and meta-analysis. According to the type of diagnosis, five studies identified dRBD cases given a pooled prevalence of 0.68% (95% confidence interval [CI] 0.38-1.05) without significant heterogeneity (Cochran's Q p = 0.11; I2 = 46.43%). Fourteen studies assessed the prevalence of pRBD with a pooled estimate of 5.65% (95% CI 4.29-7.18) and a significant heterogeneity among the studies (Cochran's Q p < 0.001; I2 = 98.21%). At the subgroup analysis, significant differences in terms of prevalence were present according to the quality of the studies and, after removing two outlaying studies, according to the continents and the screening questionnaire used. Meta-regression did not identify any significant effect of the covariates on the pooled estimates. Prevalence estimates of iRBD are significantly impacted by diagnostic level of certainty. Variations in pRBD prevalence are due to methodological differences in study design and screening questionnaires employed.

Identifiants

pubmed: 33388771
pii: 6060057
doi: 10.1093/sleep/zsaa294
pii:
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Sleep Research Society 2021. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com.

Auteurs

Calogero Edoardo Cicero (CE)

Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.

Loretta Giuliano (L)

Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.

Jaime Luna (J)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.

Mario Zappia (M)

Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.

Pierre-Marie Preux (PM)

INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France.

Alessandra Nicoletti (A)

Department of Medical, Surgical and Advanced technologies G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.

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Classifications MeSH