Hormonal Contraception and the Risk of Breast Cancer in Women of Reproductive Age: A Meta-Analysis

被引:5
|
作者
de la Roche, Luz Angela [1 ]
Acevedo-Mesa, Angelica [1 ]
Lizarazo, Ingrid Lizeth [1 ]
Devassy, Rajesh [1 ]
Becker, Sven [2 ]
Krentel, Harald [3 ]
De Wilde, Rudy Leon [1 ]
机构
[1] Carl von Ossietzky Univ Oldenburg, Univ Med Oldenburg, Univ Hosp Gynecol, Pius Hosp, D-26121 Oldenburg, Germany
[2] Univ Hosp Frankfurt, Univ Hosp Gynecol & Obstet, D-60596 Frankfurt, Germany
[3] Bethesda Hosp, Clin Gynecol Obstet Oncol & Senol, D-47053 Duisburg, Germany
关键词
breast cancer; hormonal contraception; risk factors; premenopausal; meta-analysis; ORAL-CONTRACEPTIVES; ASSOCIATION; REPAIR;
D O I
10.3390/cancers15235624
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
This study aims to summarize evidence from observational studies about the lifetime use of HC and the risk of BC in women of reproductive age. The PubMed, Cochrane, and EMBASE databases were searched for observational studies published from 2015 to February 2022. Meta-analyses were performed using adjusted odds ratios and relative risks with a random-effects model using the I-2 statistic to quantify the heterogeneity among studies. Of the 724 studies identified, 650 were screened for title/abstract selection, 60 were selected for full-text revision, and 22 were included in the meta-analysis. Of these, 19 were case-control studies and 3 were cohort studies. The results of the meta-analysis indicate a significantly higher risk of developing BC in ever users of HC (pooled OR = 1.33; 95% CI = 1.19 to 1.49). This effect is larger in the subgroups of case-control studies (pooled OR = 1.44, 95% CI = 1.21 to 1.70) and in the subgroup of studies that strictly define menopausal status (pooled OR = 1.48; 95% CI, 1.10 to 2.00). Although our meta-analysis of observational studies (cohort and case-control) suggests a significantly increased overall risk of BC in users or ever-users of modern hormonal contraceptives, the high heterogeneity among studies (>70%) related to differences in study design, measurement of variables, confounders, among other factors, as well as publication biases should be considered when interpreting our results.
引用
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页数:25
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