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Meta-Analysis
. 2013 Dec 9;8(12):e82091.
doi: 10.1371/journal.pone.0082091. eCollection 2013.

Risk of obstructive sleep apnea in Parkinson's disease: a meta-analysis

Affiliations
Meta-Analysis

Risk of obstructive sleep apnea in Parkinson's disease: a meta-analysis

Jun Zeng et al. PLoS One. .

Abstract

Study objectives: Sleep disorders are a common symptom of Parkinson's disease (PD) and they significantly impair the sleep quality of the PD patients. However, there is no conclusive evidence to support the relation between PD and the prevalence of obstructive sleep apnea (OSA). The purpose of this meta-analysis review is to evaluate the association between PD and the prevalence of OSA.

Methods: A comprehensive literature search was conducted on PubMed and Embase through July 2013. Only studies that referred to PD and the prevalence of OSA and that met the selection criteria were included in the analysis. The odds ratios (ORs) were used to evaluate the relationship of PD and the prevalence of OSA by the fixed-effect model.

Results: Five eligible studies were analyzed in this study including 322 cases and 6,361 controls. The pooled-analysis showed the OR to be 0.60 (95% confidence interval (CI): 0.44 to 0.81, P = 0.001) and I(2) = 0.0% (χ(2) = 3.90, P = 0.420) in the fixed-effect model.

Conclusions: Although we only included five small sample studies that indicated high homogeneity in the heterogeneity test, the results suggest that there is a significant negative association between PD and the prevalence of OSA; PD patients generally have a reduced prevalence of OSA. According to our analysis, these results are primarily due to the lower BMI of PD patients when compared with the general population controls.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Flow chart for literature search and screening.
Figure 2
Figure 2. Forest plot for the risk of OSA in PD patients compared to controls.
The squares and horizontal lines represent the study-specific OR and 95% CI (confidence interval). The area of the squares reflects the study specific weight (inverse of the variance). Diamond represents the pooled OR and 95% CI (fixed-effect model).

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