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帕金森病与骨折风险:前瞻性队列研究的荟萃分析

Parkinson's disease and risk of fracture: a meta-analysis of prospective cohort studies.

作者信息

Tan Li, Wang Ying, Zhou Lingling, Shi Yun, Zhang Fan, Liu Li, Nie Shaofa

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P. R. China.

出版信息

PLoS One. 2014 Apr 8;9(4):e94379. doi: 10.1371/journal.pone.0094379. eCollection 2014.

Abstract

BACKGROUNDS/OBJECTIVE: Parkinson's disease (PD) is the second most common neurodegenerative disease among the elderly population. However, epidemiological evidence on the relationship of PD with risk of fracture has not been systematically assessed. Therefore, we performed this meta-analysis of prospective studies to explore the association between PD and risk of fracture.

METHODS

PubMed, Embase, Web of Science and Cochrane Library up to February 26, 2014 were searched to identify eligible studies. Random-effects model was used to pool the results.

RESULTS

Six studies that totally involved 69,387 participants were included for analysis. Overall, PD patients had an increased risk of fracture compared with control subjects (pooled hazard ratio = 2.66, 95% confidence interval: 2.10-3.36). No publication bias was observed across studies and the subgroup as well as sensitivity analysis suggested that the general results were robust.

CONCLUSION

The present study suggested that PD is associated with an increased risk of fracture. However, given the limited number and moderate quality of included studies, well-designed prospective cohort studies are required to confirm the findings from this meta-analysis.

摘要

背景/目的:帕金森病(PD)是老年人群中第二常见的神经退行性疾病。然而,关于PD与骨折风险关系的流行病学证据尚未得到系统评估。因此,我们进行了这项前瞻性研究的荟萃分析,以探讨PD与骨折风险之间的关联。

方法

检索截至2014年2月26日的PubMed、Embase、科学引文索引和考克兰图书馆,以确定符合条件的研究。采用随机效应模型汇总结果。

结果

纳入6项研究,共69387名参与者进行分析。总体而言,与对照组相比,PD患者骨折风险增加(合并风险比=2.66,95%置信区间:2.10 - 3.36)。各研究及亚组均未观察到发表偏倚,敏感性分析表明总体结果可靠。

结论

本研究表明,PD与骨折风险增加有关。然而,鉴于纳入研究数量有限且质量中等,需要设计良好的前瞻性队列研究来证实该荟萃分析的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5265/3979831/e045cb1ea95a/pone.0094379.g001.jpg

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