Meester Reinier G S, Doubeni Chyke A, Lansdorp-Vogelaar Iris, Goede S Lucas, Levin Theodore R, Quinn Virginia P, Ballegooijen Marjolein van, Corley Douglas A, Zauber Ann G
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Ann Epidemiol. 2015 Mar;25(3):208-213.e1. doi: 10.1016/j.annepidem.2014.11.011. Epub 2014 Dec 5.
Screening is a major contributor to colorectal cancer (CRC) mortality reductions in the United States but is underused. We estimated the fraction of CRC deaths attributable to nonuse of screening to demonstrate the potential benefits from targeted interventions.
The established microsimulation screening analysis colon model was used to estimate the population attributable fraction (PAF) in people aged ≥50 years. The model incorporates long-term patterns and effects of screening by age and type of screening test. PAF for 2010 was estimated using currently available data on screening uptake. PAF was also projected assuming constant future screening rates to incorporate lagged effects from past increases in screening uptake. We also computed PAF using Levin's formula to gauge how this simpler approach differs from the model-based approach.
There were an estimated 51,500 CRC deaths in 2010, about 63% (N ∼ 32,200) of which were attributable to nonscreening. The PAF decreases slightly to 58% in 2020. Levin's approach yielded a considerably more conservative PAF of 46% (N ∼ 23,600) for 2010.
Most of the current United States CRC deaths are attributable to nonscreening. This underscores the potential benefits of increasing screening uptake in the population. Traditional methods of estimating PAF underestimated screening effects compared with model-based approaches.
在美国,筛查是降低结直肠癌(CRC)死亡率的主要因素,但目前未得到充分利用。我们估计了因未进行筛查导致的CRC死亡比例,以证明针对性干预措施的潜在益处。
使用已建立的微观模拟筛查分析结肠模型来估计年龄≥50岁人群的人群归因分数(PAF)。该模型纳入了按年龄和筛查测试类型进行筛查的长期模式和效果。利用当前可用的筛查接受率数据估计2010年的PAF。还假设未来筛查率恒定来预测PAF,以纳入过去筛查接受率上升的滞后效应。我们还使用莱文公式计算PAF,以衡量这种更简单的方法与基于模型的方法有何不同。
2010年估计有51,500例CRC死亡,其中约63%(N≈32,200)可归因于未筛查。到2020年,PAF略有下降至58%。莱文方法得出的2010年PAF更为保守,为46%(N≈23,600)。
目前美国大多数CRC死亡可归因于未筛查。这凸显了提高人群筛查接受率的潜在益处。与基于模型的方法相比,传统的PAF估计方法低估了筛查效果。