Hochmuth Friederike, Jochem Maximilian, Schlattmann Peter
Department of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Jena, Germany.
Eur J Cancer Prev. 2016 Jul;25(4):259-68. doi: 10.1097/CEJ.0000000000000176.
Aspirin is a promising agent for chemoprevention of lung cancer. We assessed the association of aspirin use and the development of lung cancer, with a focus on heterogeneity between studies. Databases were searched for relevant studies until September 2014. Studies evaluating the relationship of aspirin use and incidence of lung cancer were considered. Relative risks (RR) were extracted and a pooled estimate was calculated. Heterogeneity was assessed by the I measure, random-effects models, and finite-mixture models. Sources of heterogeneity were investigated using a meta-regression. A decreased risk of lung cancer was found including 20 studies [RR=0.87, 95% confidence interval (CI): 0.79-0.95] on the basis of a random-effects model. Strong heterogeneity was observed (τ=0.0258, I=74.4%). As a result, two subpopulations of studies were identified on the basis of a mixture model. The first subpopulation (42%) has an average RR of 0.64. The remaining subpopulation (58%) shows an RR of 1.04. Different results were found for case-control (RR=0.74, 95% CI: 0.60-0.90) and cohort studies (RR=0.99, 95% CI: 0.93-1.06) in a stratified analysis. In a subgroup analysis, use of aspirin was associated with a decreased risk of non-small-cell lung cancer in case-control studies (RR=0.74; 95% CI: 0.58-0.94). At first glance, our meta-analysis shows an average protective effect. A second glance indicates that there is strong heterogeneity. This leads to a subpopulation with considerable benefit and another subpopulation with no benefit. For further investigations, it is important to identify populations that benefit from aspirin use.
阿司匹林是一种很有前景的肺癌化学预防药物。我们评估了阿司匹林使用与肺癌发生之间的关联,重点关注研究之间的异质性。检索数据库以查找相关研究,截止到2014年9月。纳入评估阿司匹林使用与肺癌发病率关系的研究。提取相对风险(RR)并计算合并估计值。通过I统计量、随机效应模型和有限混合模型评估异质性。使用meta回归研究异质性来源。基于随机效应模型,在纳入的20项研究中发现阿司匹林使用可降低肺癌风险[RR = 0.87,95%置信区间(CI):0.79 - 0.95]。观察到很强的异质性(τ = 0.0258,I = 74.4%)。结果,基于混合模型确定了两个研究亚组。第一个亚组(42%)的平均RR为0.64。其余亚组(58%)的RR为1.04。分层分析中,病例对照研究(RR = 0.74,95% CI:0.60 - 0.90)和队列研究(RR = 0.99,95% CI:0.93 - 1.06)的结果不同。在亚组分析中,病例对照研究中阿司匹林使用与非小细胞肺癌风险降低相关(RR = 0.74;95% CI:0.58 - 0.94)。乍一看,我们的meta分析显示出平均保护作用。再看一眼则表明存在很强的异质性。这导致一个有显著益处的亚组和另一个无益处的亚组。对于进一步的研究,识别出能从阿司匹林使用中获益的人群很重要。