Department of Epidemiology, Biostatistics and HTA, Radboud University Nijmegen Medical Centre & National Expert and Training Centre for Breast Cancer Screening, Nijmegen, The Netherlands.
J Med Screen. 2012;19 Suppl 1:14-25. doi: 10.1258/jms.2012.012078.
To assess the impact of population-based mammographic screening on breast cancer mortality in Europe, considering different methodologies and limitations of the data.
We conducted a systematic literature review of European trend studies (n = 17), incidence-based mortality (IBM) studies (n = 20) and case-control (CC) studies (n = 8). Estimates of the reduction in breast cancer mortality for women invited versus not invited and/or for women screened versus not screened were obtained. The results of IBM studies and CC studies were each pooled using a random effects meta-analysis.
Twelve of the 17 trend studies quantified the impact of population-based screening on breast cancer mortality. The estimated breast cancer mortality reductions ranged from 1% to 9% per year in studies reporting an annual percentage change, and from 28% to 36% in those comparing post- and prescreening periods. In the IBM studies, the pooled mortality reduction was 25% (relative risk [RR] 0.75, 95% confidence interval [CI] 0.69-0.81) among invited women and 38% (RR 0.62, 95% CI 0.56-0.69) among those actually screened. The corresponding pooled estimates from the CC studies were 31% (odds ratio [OR] 0.69, 95% CI 0.57-0.83), and 48% (OR 0.52, 95% CI 0.42-0.65) adjusted for self-selection.
Valid observational designs are those where sufficient longitudinal individual data are available, directly linking a woman's screening history to her cause of death. From such studies, the best 'European' estimate of breast cancer mortality reduction is 25-31% for women invited for screening, and 38-48% for women actually screened. Much of the current controversy on breast cancer screening is due to the use of inappropriate methodological approaches that are unable to capture the true effect of mammographic screening.
评估基于人群的乳腺 X 线筛查对欧洲乳腺癌死亡率的影响,同时考虑到数据的不同方法学和局限性。
我们对欧洲趋势研究(n=17)、基于发病率的死亡率(IBM)研究(n=20)和病例对照(CC)研究(n=8)进行了系统文献回顾。获得了邀请与未邀请女性以及筛查与未筛查女性乳腺癌死亡率降低的估计值。使用随机效应荟萃分析对 IBM 研究和 CC 研究的结果进行了汇总。
17 项趋势研究中有 12 项量化了基于人群的筛查对乳腺癌死亡率的影响。报告年度百分比变化的研究中,乳腺癌死亡率的估计降幅每年为 1%-9%,比较筛查前后时期的研究中降幅为 28%-36%。在 IBM 研究中,受邀女性的汇总死亡率降低了 25%(相对风险 [RR] 0.75,95%置信区间 [CI] 0.69-0.81),实际筛查的女性降低了 38%(RR 0.62,95% CI 0.56-0.69)。CC 研究的汇总估计值分别为 31%(比值比 [OR] 0.69,95% CI 0.57-0.83)和 48%(OR 0.52,95% CI 0.42-0.65),校正了自我选择因素。
有效的观察性设计是指那些能够获得足够的纵向个体数据,直接将女性的筛查史与其死因联系起来的设计。根据这些研究,邀请进行筛查的女性乳腺癌死亡率降低的最佳“欧洲”估计值为 25%-31%,实际进行筛查的女性为 38%-48%。目前关于乳腺癌筛查的许多争议是由于使用了无法捕捉到乳腺 X 线筛查真实效果的不适当方法学方法所致。