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Published in: BMC Endocrine Disorders 1/2014

Open Access 01-12-2014 | Research article

Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies

Authors: Kan Sun, Jianmin Liu, Nan Lu, Hanxiao Sun, Guang Ning

Published in: BMC Endocrine Disorders | Issue 1/2014

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Abstract

Background

Emerging epidemiological evidence suggest an association between metabolic syndrome and fractures. However, whether metabolic syndrome is an independent risk or protective factor of fractures remains controversial. Our goal is to provide a quantitative assessment of the association between metabolic syndrome and bone fractures by conducting a meta-analysis of observational studies.

Methods

The PubMed and Embase database were searched through to March 2013 to identify studies that met pre-established inclusion criteria. Reference lists of retrieved articles were also reviewed. Summary effect estimates with 95% confidence intervals (CI) were derived using a fixed or random effects model, depending on the heterogeneity of the included studies.

Results

Eight epidemiologic studies involving 39,938 participants were included in the meta-analysis. In overall analysis, metabolic syndrome was not associated with prevalent fractures [pooled odds ratio (OR) 0.93, 95% CI 0.84 - 1.03] in cross-sectional studies or incident fractures [pooled relative risk (RR) 0.88, 95% CI 0.37 - 2.12] in prospective cohort studies. No evidence of heterogeneity was found in cross-sectional studies (p = 0.786, I 2  = 0.0%). A substantial heterogeneity was detected in cohort studies (p = 0.001, I 2  = 85.7%). No indication of significant publication bias was found either from Begg’s test or Egger’s test. Estimates of total effects were substantially consistent in the sensitivity and stratification analyses.

Conclusions

The present meta-analysis of observational studies suggests that the metabolic syndrome has no explicit effect on bone fractures.
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Metadata
Title
Association between metabolic syndrome and bone fractures: a meta-analysis of observational studies
Authors
Kan Sun
Jianmin Liu
Nan Lu
Hanxiao Sun
Guang Ning
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Endocrine Disorders / Issue 1/2014
Electronic ISSN: 1472-6823
DOI
https://doi.org/10.1186/1472-6823-14-13

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