Alagoz Oguzhan, Nadeau Claude, Yong Jean Hai Ein, Garner Rochelle, Coldman Andrew, Trentham-Dietz Amy
Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Health Analysis and Modelling Division, Statistics Canada, Ottawa, Ontario, Canada.
Health Rep. 2025 Jun 18;36(6):3-14. doi: 10.25318/82-003-x202500600001-eng.
The OncoSim-Breast model, developed by the Canadian Partnership Against Cancer and Statistics Canada, represents breast cancer-related events in the Canadian female population. This study aimed to compare OncoSim-Breast with recent results from the United States' National Cancer Institute's Cancer Intervention and Surveillance Modeling Network (CISNET) breast cancer models. The primary focus was on the impact of extending breast cancer screening to women aged 40 to 49.
The OncoSim-Breast model used Canadian demographics, competing mortality, and test performance, while the CISNET models used comparable United States data to analyze 10 different mammography screening scenarios. Lifetime outcomes were calculated for a cohort of 40-year-old women born in 1980, assuming perfect adherence to digital mammography screening. OncoSim-Breast's estimates were compared with the median and range of estimates from the five CISNET models. The primary outcomes were breast cancer deaths averted and life years gained per 1,000 40-year-old women.
OncoSim-Breast projected that starting screening at age 40 would lead to 1.7 breast cancer deaths averted and 53 life years gained per 1,000 women, compared with starting screening at age 50. CISNET models projected a median of 1.3 breast cancer deaths averted (range 0.8 to 3.2) and 43 life years gained (range 31 to 103) per 1,000 women for the same scenario. Secondary outcomes estimated by OncoSim-Breast and CISNET models were similarly consistent and comparable.
This study demonstrates that OncoSim-Breast's estimates of the impact of starting breast cancer screening earlier align with those from CISNET models.
由加拿大抗癌伙伴组织和加拿大统计局开发的OncoSim-Breast模型,呈现了加拿大女性人群中与乳腺癌相关的事件。本研究旨在将OncoSim-Breast模型与美国国立癌症研究所癌症干预与监测建模网络(CISNET)乳腺癌模型的近期结果进行比较。主要关注点是将乳腺癌筛查扩展至40至49岁女性所产生的影响。
OncoSim-Breast模型使用了加拿大的人口统计学数据、竞争性死亡率和检测性能,而CISNET模型使用了美国的可比数据来分析10种不同的乳腺钼靶筛查方案。假设对数字乳腺钼靶筛查完全依从,计算了1980年出生的40岁女性队列的终生结局。将OncoSim-Breast模型的估计值与五个CISNET模型估计值的中位数和范围进行了比较。主要结局是每1000名40岁女性避免的乳腺癌死亡数和获得的生命年数。
OncoSim-Breast模型预测,与50岁开始筛查相比,40岁开始筛查每1000名女性可避免1.7例乳腺癌死亡,并获得53个生命年。对于相同的筛查方案,CISNET模型预测每1000名女性避免的乳腺癌死亡数中位数为1.3例(范围为0.8至3.2例),获得的生命年数为43个(范围为31至103个)。OncoSim-Breast模型和CISNET模型估计的次要结局同样具有一致性和可比性。
本研究表明,OncoSim-Breast模型对更早开始乳腺癌筛查影响的估计与CISNET模型的估计一致。