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Diabetes mellitus and the risk of ovarian cancer: a systematic review and meta-analysis of cohort and case–control studies

A partir d'une revue systématique de la littérature publiée jusqu'en avril 2020 (36 études, 14 496 patients), cette méta-analyse évalue l'association entre des antécédents de diabète sucré et le risque de cancer de l'ovaire

Objective: Emerging evidence from observational studies (cohort and case–control studies) suggests that a history of diabetes mellitus (DM) has been linked to increased risk of ovarian cancer (OC), but the association between them remains inconclusive. The aim of this systematic review and meta-analysis of observational studies was to clarify this association. Design: Systematic review and meta-analysis. Methods: We searched PubMed, Embase and the Cochrane library databases published from the inception through 9 April 2020 without language restriction. Observational studies that evaluated the correlation between DM and the incidence of OC were included in our study. Relative risk (RR) with 95% CI was pooled by use of a random-effects model. Results: A total of 36 epidemiological articles, including 9 case–control and 27 cohort studies, were finally enrolled, consisting of 14 496 incident cases of OC. Synthesised RRs of developing OC by history of DM were 1.20 (95% CI=1.10 to 1.31) for all eligible studies, 1.08 (95% CI=0.77 to 1.53) for case–control studies and 1.22 (95% CI=1.11 to 1.33) for cohort studies. The above-mentioned positive association persisted across most of subgroup analyses, whereas it was not significant among studies from North American and European countries, level of unadjusted, and patients with low-quality and gestational DM group. The cumulative meta-analysis and sensitivity analysis showed pooled effect was stable and reliable, and no apparent publication bias was identified in this study. Conclusions: Our study found weaker but still association between DM and OC risk. However, further well-designed prospective studies that control for potential confounders are warranted.

BMJ Open

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