Erschienen in:
09.08.2017 | Original Article
Risk of low-energy fracture in type 2 diabetes patients: a meta-analysis of observational studies
verfasst von:
P. Jia, L. Bao, H. Chen, J. Yuan, W. Liu, F. Feng, J. Li, H. Tang
Erschienen in:
Osteoporosis International
|
Ausgabe 11/2017
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Abstract
Summary
In this meta-analysis, evidence of an association between type 2 diabetes mellitus (T2DM) and low-energy fractures has been evaluated including 12 observational studies. The results suggested that T2DM patients had an enhanced risk of low-energy fractures.
Introduction
Type 1 diabetes mellitus (T1DM) patients have been shown to be at enhanced risk of fracture injury, but less is known about low-energy fractures among patients with T2DM.
Methods
We performed a meta-analysis of 12 observational studies identified in Medline and EMBASE that included 938,742 participants, including 30,827 low-energy fracture cases. The incidence rate ratios (IRRs) of low-energy fractures were determined using a random-effects model.
Results
The IRRs of low-energy fracture for men and women were 1.37 (95% confidence interval [CI], 0.94–2.00; p = 0.096) and 1.22 (95% CI, 1.09–1.35; p = 0.000), respectively, and the overall IRR was 1.23 (95% CI, 1.12–1.35; p = 0.000). The IRRs for hip and vertebral fractures were 1.08 (95% CI, 1.02–1.15; p = 0.007) and 1.21 (95% CI, 0.98–1.48; p = 0.073), respectively. The IRRs of low-energy fracture in case-control, prospective, retrospective, and cross-sectional studies were 1.18 (95% CI, 0.81–1.72; p = 0.380), 1.17 (95% CI, 1.05–1.32, p = 0.006), 1.15 (95% CI, 1.02–1.29; p = 0.020), and 1.60 (95% CI, 1.21–2.12; p = 0.001), respectively. The IRRs of low-energy fracture for less than 5 years, 5 to 10 years, and more than 10 years were 1.30 (95%, CI 1.13–1.50; p = 0.000), 1.05 (95% CI, 1.03–1.08; p = 0.000), and 1.19 (95% CI, 1.00–1.41; p = 0.049), respectively.
Conclusions
Patients with T2DM had a greater risk of low-energy fracture especially of the hip, compared with that in non-diabetic subjects. However, since according to our funnel plot a publication bias may be present and due to study heterogeneity as well as the limited number of publications, the finding needs to be interpreted with caution.