Department of Urology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, China.
Biomed Res Int. 2019 Apr 3;2019:9379602. doi: 10.1155/2019/9379602. eCollection 2019.
Prostate cancer (PCa) is the ninth most common cause of cancer death globally. Many studies have investigated aspirin exposure and mortality risk among PCa patients, returning inconsistent results. We conducted a comprehensive meta-analysis to explore the association between aspirin exposure and mortality risk among PCa patients and to investigate potential dose/duration/frequency-response relationships.
Studies published from 1980 to 2018 of PubMed and EMBASE databases were searched. We included 14 studies with 110,000 participants. Multivariate-adjusted odds ratios (ORs) were pooled using random-effect models. Potential dose/duration/frequency-response relationships were evaluated for aspirin exposure and prostate cancer-specific mortality (PCSM) risk. We did not detect an association between the highest aspirin exposure and mortality risk (PCSM of prediagnostic aspirin exposure, OR: 0.96, 95% confidence interval [CI]: 0.87-1. 07, I= 0%; PCSM of postdiagnostic aspirin exposure, OR:0.92, 95% CI: 0.77-1.10, I = 56.9%; all-cause mortality [ACM] of prediagnostic aspirin exposure, OR: 0.96, 95% CI: 0.88-1.04, I = 9.4%; ACM of postdiagnostic aspirin exposure, OR: 0.95, 95% CI: 0.73-1.23, I = 88.9%). There was no significant dose/frequency-response association observed for aspirin exposure and PCSM risk. On duration-response analysis, we found that short-term postdiagnostic aspirin exposure (shorter than 2.5 years) increased the risk of PCSM.
Our meta-analysis suggests that there is no association between aspirin exposure and PCSM risk. Nor is there an association between the highest aspirin exposure and ACM risk among PCa patients. More studies are needed for a further dose/duration/frequency-response meta-analysis.
前列腺癌(PCa)是全球第九大常见癌症死因。许多研究都调查了阿司匹林暴露与 PCa 患者死亡率之间的关系,但结果并不一致。我们进行了一项综合荟萃分析,以探讨阿司匹林暴露与 PCa 患者死亡率之间的关系,并研究潜在的剂量/持续时间/频率反应关系。
从 1980 年至 2018 年,我们在 PubMed 和 EMBASE 数据库中搜索了已发表的研究。我们纳入了 14 项研究,共有 110000 名参与者。使用随机效应模型汇总了多变量校正的比值比(ORs)。我们评估了阿司匹林暴露与前列腺癌特异性死亡率(PCSM)风险之间的潜在剂量/持续时间/频率反应关系。我们没有发现最高阿司匹林暴露与死亡率风险之间存在关联(预测性阿司匹林暴露的 PCSM,OR:0.96,95%置信区间[CI]:0.87-1.07,I=0%;诊断后阿司匹林暴露的 PCSM,OR:0.92,95%CI:0.77-1.10,I=56.9%;预测性阿司匹林暴露的全因死亡率[ACM],OR:0.96,95%CI:0.88-1.04,I=9.4%;诊断后阿司匹林暴露的 ACM,OR:0.95,95%CI:0.73-1.23,I=88.9%)。对于阿司匹林暴露与 PCSM 风险,我们没有观察到剂量/频率反应的显著关联。在持续时间-反应分析中,我们发现短期诊断后阿司匹林暴露(短于 2.5 年)增加了 PCSM 的风险。
我们的荟萃分析表明,阿司匹林暴露与 PCSM 风险之间没有关联。在 PCa 患者中,最高阿司匹林暴露与 ACM 风险之间也没有关联。需要进一步进行剂量/持续时间/频率反应的荟萃分析。