Association between statin use and the risk, prognosis of gynecologic cancer: A meta-analysis

医学 子宫内膜癌 内科学 荟萃分析 优势比 危险系数 肿瘤科 卵巢癌 相对风险 他汀类 癌症 置信区间 妇科 妇科肿瘤学 子宫癌
作者
Yali Chen,Ling Han,Ai Zheng
出处
期刊:European Journal of Obstetrics & Gynecology and Reproductive Biology [Elsevier BV]
卷期号:268: 74-81 被引量:12
标识
DOI:10.1016/j.ejogrb.2021.11.013
摘要

Background Recent evidence has demonstrated that the salutary effect of statins on the prevention and prognosis of cancers, including gynecologic cancers. However, due to the heterogeneity of tumors, the results from related studies regarding the association between statin therapy and gynecologic cancers are conflicting. Thus, we conducted this meta-analysis to better understand the relationship between statins use and gynecologic cancers. Methods We searched for articles published before July 2021 in the databases: PubMed, Web of Science, Medline, EMBASE and Google Scholar. We computed odds ratio (OR)/relative risk (RR) or hazard ratio (HR) and 95% confidence intervals (CI) regarding the association between statin use and the risk or prognosis of gynecologic cancers by using STATA 12.0 software. Results The present meta-analysis showed that statin use was associated with a lower risk of gynecologic cancer (OR/RR = 0.89, 95% CI 0.83 to 0.96, I2 = 60.6%, p < 0.001). Statin use was associated with lower risks of endometrial cancer and ovarian cancer (endometrial cancer: OR/RR = 0.81, 95% CI 0.70 to 0.94, I2 = 62.3%, p = 0.001; ovarian cancer: OR/RR = 0.92, 95% CI 0.85 to 1.00, I2 = 42.1%, p = 0.077). The present meta-analysis showed that statin use was associated with a lower mortality of gynecologic cancer (HR = 0.73, 95% CI 0.67 to 0.80, I2 = 39.0%, p = 0.03). Statin use was associated with lower mortalities of endometrial cancer and ovarian cancer (endometrial cancer: HR = 0.71, 95% CI 0.64 to 0.80, I2 = 31.9%, p = 0.144; ovarian cancer: HR = 0.78, 95% CI 0.73 to 0.83, I2 = 43.9%, p = 0.051). Conclusion Statins use was inversely associated with the risk and mortality of gynecologic cancers. Meanwhile, we need more well-designed and high-quality studies with strong evidence for definite conclusions that determine clinical practice.
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