Wang Lihua, Wang Liangliang, Zhang Jing, Wang Beibei, Liu Hongli
Department of Gyne-Oncology, the First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.
Medicine (Baltimore). 2017 Apr;96(16):e6396. doi: 10.1097/MD.0000000000006396.
Epidemiologic studies have suggested that diabetes mellitus (DM) might be associated with risk of ovarian cancer; however, the results have been inconsistent. The aim of this study was to determine the relationship between DM and the incidence of ovarian cancer on the basis of cohort studies.Relevant studies from PubMed, Embase, and the Cochrane Library until September 2016 were collected. The summary risk ratio (RR) was used as the effect measure in a random effects model. Sensitivity analysis, subgroup analysis, and calculation of publication bias were conducted.Thirteen articles including 14 cohorts comprising a total of 3708, 313 women and reporting 5534 cases of ovarian cancer were included. The summary RR suggested that patients with DM had a higher risk of ovarian cancer than patients without DM (RR: 1.19; 95% confidence interval: 1.06-1.34; P = .004), and no evidence of publication bias was found. The subgroup analysis indicated a higher incidence of ovarian cancer in patients with DM in studies published after 2010, studies not conducted in Europe or the United States, studies that did not adjust for body mass index or smoking status, and studies with lower Newcastle-Ottawa Scale scores.The present findings indicated that DM is a risk factor for ovarian cancer, and future large-scale epidemiologic studies should be performed to evaluate this relation in specific populations.
流行病学研究表明,糖尿病(DM)可能与卵巢癌风险相关;然而,结果并不一致。本研究的目的是基于队列研究确定DM与卵巢癌发病率之间的关系。收集了截至2016年9月来自PubMed、Embase和Cochrane图书馆的相关研究。汇总风险比(RR)用作随机效应模型中的效应量度。进行了敏感性分析、亚组分析和发表偏倚计算。纳入了13篇文章,包括14个队列,共3708313名女性,报告了5534例卵巢癌病例。汇总RR表明,DM患者患卵巢癌的风险高于非DM患者(RR:1.19;95%置信区间:1.06 - 1.34;P = 0.004),且未发现发表偏倚的证据。亚组分析表明,在2010年后发表的研究、非在欧洲或美国进行的研究、未对体重指数或吸烟状况进行调整的研究以及纽卡斯尔 - 渥太华量表得分较低的研究中,DM患者的卵巢癌发病率较高。本研究结果表明,DM是卵巢癌的一个危险因素,未来应进行大规模流行病学研究以评估特定人群中的这种关系。