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Aspirin use and breast cancer risk: a meta-analysis and meta-regression of observational studies from 2001 to 2005.

机译:使用阿司匹林和患乳腺癌的风险:2001年至2005年的观察性研究的荟萃分析和荟萃回归。

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摘要

PURPOSE: To examine the recent epidemiological studies on aspirin use and breast cancer risk published from 2001 to 2005 within a meta-analysis, to investigate reasons for heterogeneity between the individual studies and to analyse a dose-response-relationship considering frequency and duration of use. METHODS: We systematically searched for cohort-studies and case-control-studies from 2001-2005, which evaluated the association between aspirin and breast cancer risk. We calculated a pooled estimate for the relative risk (RR) and investigated reasons for heterogeneity between the individual studies and analysed a dose-response-relationship using random effects mixed models. RESULTS: We identified 10 studies which met the inclusion criteria. The combined estimate of the RR was 0.75 (95%CI: 0.64, 0.88) using the random effects model. Heterogeneity between the studies could not be explained by the covariates study-type and study-population. The combination of frequency and duration of aspirin use resulted in a significant dose-response-relationship between aspirin use and breast cancer risk. Each additional pillyear reduced the breast cancer risk to about 2%. CONCLUSION: Our meta-analysis supports the current evidence that aspirin may reduce breast cancer risk. Moreover, a dose-response-relationship seems to exist. However, results have to be interpreted carefully, as exposure categories were defined very heterogeneously among the studies which weakens the validity of the pooled estimates.
机译:目的:在荟萃分析中检查最近从2001年至2005年发表的有关阿司匹林使用和乳腺癌风险的流行病学研究,调查各个研究之间异质性的原因,并考虑使用频率和持续时间来分析剂量反应关系。方法:我们系统地搜索了2001年至2005年的队列研究和病例对照研究,评估了阿司匹林与乳腺癌风险之间的关系。我们计算了相对风险(RR)的汇总估算值,并调查了各个研究之间异质性的原因,并使用随机效应混合模型分析了剂量反应关系。结果:我们确定了10项符合纳入标准的研究。使用随机效应模型,RR的组合估计值为0.75(95%CI:0.64,0.88)。研究之间的异质性不能通过研究类型和研究人群的协变量来解释。阿司匹林使用的频率和持续时间的结合导致阿司匹林使用与乳腺癌风险之间显着的剂量反应关系。每增加一个药丸年,患乳腺癌的风险就会降低到大约2%。结论:我们的荟萃分析支持了阿司匹林可能降低乳腺癌风险的最新证据。此外,似乎存在剂量反应关系。但是,必须仔细解释结果,因为在研究之间对暴露类别的定义非常不统​​一,这削弱了合并估算的有效性。

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