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Low-dose aspirin use and survival in breast cancer patients: A nationwide cohort study

机译:乳腺癌患者低剂量阿司匹林的使用和生存:一项全国队列研究

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摘要

BackgroundPreclinical evidence from breast cancer cell lines and animal models suggest that aspirin could have anti-cancer properties. In a large breast cancer patient cohort, we investigated whether post-diagnostic low-dose aspirin use was associated with a reduction in the risk of breast cancer-specific mortality.MethodsWe identified 15,140 newly diagnosed breast cancer patients within the Scottish Cancer Registry. Linkages to the Scottish Prescribing Information System provided data on dispensed medications and breast cancer-specific deaths were identified from National Records of Scotland Death Records. Time-dependent Cox regression models were used to calculate hazard ratios (HR) and 95% CIs for breast cancer-specific and all-cause mortality by post-diagnostic low-dose aspirin use. HRs were adjusted for a range of potential confounders including age at diagnosis, year of diagnosis, cancer stage, grade, cancer treatments received, comorbidities, socioeconomic status and use of statins. Secondary analysis investigated the association between pre-diagnostic low-dose aspirin use and breast cancer-specific and all-cause mortality.ResultsPost-diagnostic users of low-dose aspirin appeared to have increased breast cancer-specific mortality compared with non-users (HR 1.44, 95% CI 1.26, 1.65) but this association was entirely attenuated after adjustment for potential confounders (adjusted HR 0.92, 95% CI 0.75, 1.14). Findings were similar in analysis by increasing duration of use and in analysis of pre-diagnostic low-dose aspirin use.ConclusionIn this large nationwide study of breast cancer patients, we found little evidence of an association between post-diagnostic low-dose aspirin use and cancer-specific mortality.
机译:背景乳腺癌细胞系和动物模型的临床前证据表明阿司匹林可能具有抗癌特性。在一个大型乳腺癌患者队列中,我们调查了诊断后低剂量阿司匹林的使用是否与降低乳腺癌特异性死亡率的风险有关。方法我们在苏格兰癌症登记处确定了15140名新诊断的乳腺癌患者。苏格兰处方信息系统的链接提供了所配发药物的数据,并且从《苏格兰死亡记录国家记录》中确定了特定于乳腺癌的死亡人数。使用时间依赖性Cox回归模型通过诊断后低剂量阿司匹林的使用来计算乳腺癌特异性和全因死亡率的危险比(HR)和95%CI。对HR进行了调整,以适应一系列潜在的混杂因素,包括诊断时的年龄,诊断年,癌症分期,等级,接受的癌症治疗,合并症,社会经济状况以及他汀类药物的使用。二级分析调查了诊断前低剂量阿司匹林的使用与乳腺癌特异性和全因死亡率之间的关系。结果低剂量阿司匹林的诊断后使用者与非使用者相比似乎增加了乳腺癌特异性死亡率(HR 1.44,95%CI 1.26,1.65),但在对潜在的混杂因素进行调整后(校正后的HR 0.92,95%CI 0.75,1.14),这种联系被完全削弱了。通过延长使用时间和进行诊断前低剂量阿司匹林使用的分析结果相似。结论在这项全国范围的乳腺癌患者大型研究中,我们几乎没有证据表明诊断后低剂量阿司匹林使用与低剂量阿司匹林之间存在关联。特定于癌症的死亡率。

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