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Meta-Analysis
. 2021 Mar-Apr;35(2):1109-1115.
doi: 10.21873/invivo.12356.

Pelvic Insufficiency Fractures in Cervical Cancer After Radiation Therapy: A Meta-Analysis and Review

Affiliations
Meta-Analysis

Pelvic Insufficiency Fractures in Cervical Cancer After Radiation Therapy: A Meta-Analysis and Review

Youn Kyung Chung et al. In Vivo. 2021 Mar-Apr.

Abstract

Aim: The aim of the study was to estimate the prevalence of pelvic insufficiency fractures (PIFs) after radiation therapy (RT) in patients with cervical cancer.

Patients and methods: A total of 3,633 patients from 15 cohort studies were included. Proportion meta-analysis was performed to estimate prevalence and subgroup analysis was performed according to imaging modalities for diagnosis of PIF. For continuous variables (age and length of follow-up), meta-regression analysis was performed.

Results: Pooled prevalence estimate of PIF was 14% (95% CI=10-19). Incidence of PIF was higher in studies that used MRI as a diagnostic tool (17%, 95% CI=12-22) than non-MRI (8%, 95% CI=2-14). In meta-regression, we found a significant association of prevalence of PIF with age (p=0.021) but not with length of follow-up (p=0.118).

Conclusion: PIF after RT in patients with cervical cancer is not rare. Physicians need to pay attention to PIFs, especially in patients with high-risk factors for osteoporotic fracture.

Keywords: Cervical cancer; insufficiency fracture; osteoporosis; survivoral care.

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Conflict of interest statement

The Authors declare no conflicts of interest.

Figures

Figure 1
Figure 1. PRISMA flow diagram detailing the process of relevant clinical study selection.
Figure 2
Figure 2. Forest plots show correlated proportions. (A) The prevalence of pelvic insufficiency fracture in studies used MRI for the diagnosis. (B) The prevalence of pelvic insufficiency fracture in studies did not use MRI for the diagnosis.
Figure 3
Figure 3. Meta-regression plot between the prevalence of pelvic insufficiency fracture and continuous variables from each study. (A) The median patient age of the study. (B) the median length of follow-up. ES, Effect size; FU, follow-up.
Figure 4
Figure 4. Begg’s funnel plot and p-value by Egger’s test. ES, Effect size; se, standard error.

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