Lew Jie-Bin, Luo Qingwei, Worthington Joachim, Ge Han, He Emily, Steinberg Julia, Caruana Michael, O'Connell Dianne L, Feletto Eleonora, Canfell Karen
The Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, Sydney, NSW, Australia.
School of Public Health, The University of Sydney, Sydney, NSW, Australia.
Med Decis Making. 2025 Apr;45(3):257-275. doi: 10.1177/0272989X251314050. Epub 2025 Feb 6.
BackgroundChanging colorectal cancer (CRC) incidence rates, including recent increases for people younger than 50 y, need to be considered in planning for future cancer control and screening initiatives. Reliable estimates of the impact of changing CRC trends on the National Bowel Cancer Screening Program (NBCSP) are essential for programmatic planning in Australia. An existing microsimulation model of CRC, , was updated to reproduce Australian CRC trends data and provide updated projections of CRC- and screening-related outcomes to inform clinical practice guidelines for the prevention of CRC.Methods was recalibrated to reproduce statistical age-period-cohort model trends and projections of CRC incidence for 1995-2045 in the absence of the NBCSP as well as published data on CRC incidence trends, stage distribution, and survival in 1995-2020 in Australia. The recalibrated predictions were validated by comparison with published Australian CRC mortality trends for 1995-2015 and statistical projections to 2040. Metamodels were developed to aid the calibration process and significantly reduce the computational burden.Results was recalibrated, and best-fit parameter sets were identified for lesion incidence, CRC stage progression rates, detection rates, and survival rates by age, sex, bowel location, cancer stage, and birth year. The recalibrated model was validated and successfully reproduced observed CRC mortality rates for 1995-2015 and statistical projections for 2016-2030.ConclusionThe recalibrated model captures significant additional detail on the future incidence and mortality burden of CRC in Australia. This is particularly relevant as younger cohorts with higher CRC incidence rates approach screening ages to inform decision making for these groups. The metamodeling approach allows fast recalibration and makes regular updates to incorporate new evidence feasible.HighlightsIn Australia, colorectal cancer incidence rates are increasing for people younger than 50 y but decreasing for people older than 50 y, and colorectal cancer survival is improving as new treatment technologies emerge.To evaluate the future health and economic impact of screening and inform policy, modeling must include detailed trends and projections of colorectal cancer incidence, mortality, and diagnosis stage.We used novel techniques including integrative age-period cohort projections and metamodel calibration to update , a detailed microsimulation of colorectal cancer and screening in Australia.
背景
在规划未来的癌症控制和筛查举措时,需要考虑结直肠癌(CRC)发病率的变化情况,包括近期50岁以下人群发病率的上升。准确估计CRC趋势变化对国家肠癌筛查计划(NBCSP)的影响,对于澳大利亚的项目规划至关重要。现有的CRC微观模拟模型 进行了更新,以重现澳大利亚CRC趋势数据,并提供与CRC及筛查相关结果的最新预测,为CRC预防临床实践指南提供参考。
方法
对 进行重新校准,以重现1995 - 2045年在无NBCSP情况下CRC发病率的统计年龄 - 时期 - 队列模型趋势和预测,以及澳大利亚1995 - 2020年CRC发病率趋势、分期分布和生存率的已发表数据。通过与1995 - 2015年已发表的澳大利亚CRC死亡率趋势以及到2040年的统计预测进行比较,验证重新校准后的 预测结果。开发元模型以辅助校准过程并显著减轻计算负担。
结果
对 进行了重新校准,确定了按年龄、性别、肠道位置、癌症分期和出生年份划分的病变发病率、CRC分期进展率、检测率和生存率的最佳拟合参数集。重新校准后的模型经过验证,成功重现了1995 - 2015年观察到的CRC死亡率以及2016 - 2030年的统计预测。
结论
重新校准后的 模型捕捉到了澳大利亚未来CRC发病率和死亡率负担的显著更多细节。随着CRC发病率较高的年轻队列接近筛查年龄,这对于为这些群体提供决策依据尤为重要。元建模方法允许快速重新校准,并使纳入新证据的定期更新变得可行。
要点
在澳大利亚,50岁以下人群的结直肠癌发病率在上升,而50岁以上人群的发病率在下降,并且随着新治疗技术的出现,结直肠癌生存率正在提高。
为了评估筛查对未来健康和经济的影响并为政策提供参考,建模必须包括结直肠癌发病率、死亡率和诊断分期的详细趋势和预测。
我们使用了包括综合年龄 - 时期队列预测和元模型校准在内的新技术来更新 ,这是澳大利亚结直肠癌和筛查的详细微观模拟。