RAND Corporation, Santa Monica, CA, USA.
Department of Public Health, Erasmus MC, Rotterdam, Zuid-Holland, the Netherlands.
Med Decis Making. 2020 Nov;40(8):1034-1040. doi: 10.1177/0272989X20961095. Epub 2020 Oct 20.
Microsimulation models are often used to predict long-term outcomes and guide policy decisions regarding cancer screening. The United Kingdom Flexible Sigmoidoscopy Screening (UKFSS) Trial examines a one-time intervention of flexible sigmoidoscopy that was implemented before a colorectal cancer (CRC) screening program was established. Long-term study outcomes, now a full 17 y following randomization, have been published. We use the outcomes from this trial to validate 3 microsimulation models for CRC to long-term study outcomes. We find that 2 of 3 models accurately predict the relative effect of screening (the hazard ratios) on CRC-specific incidence 17 y after screening. We find that all 3 models yield predictions of the relative effect of screening on CRC incidence and mortality (i.e., the hazard ratios) that are reasonably close to the UKFSS results. Two of the 3 models accurately predict the relative reduction in CRC incidence 17 y after screening. One model accurately predicted the absolute incidence and mortality rates in the screened group. The models differ in their estimates related to adenoma detection at screening. Although high-quality screening results help to inform models, trials are expensive, last many years, and can be complicated by ethical issues and technological changes across the duration of the trial. Thus, well-calibrated and validated models are necessary to predict outcomes for which data are not available. The results from this validation demonstrate the utility of models in predicting long-term outcomes and in collaborative modeling to account for uncertainty.
微模拟模型常用于预测癌症筛查的长期结果,并为相关政策决策提供指导。英国柔性乙状结肠镜筛查试验(UKFSS)研究了在结直肠癌(CRC)筛查计划建立之前实施的一次性柔性乙状结肠镜检查干预措施。目前,该试验的长期研究结果已经公布,其随访时间长达 17 年。我们使用该试验的结果来验证 3 种用于 CRC 长期研究结果的微模拟模型。我们发现,3 种模型中有 2 种可以准确预测筛查对 CRC 特定发病率的相对影响(危害比),在筛查后 17 年时仍然如此。我们发现,这 3 种模型都可以预测筛查对 CRC 发病率和死亡率的相对影响(即危害比),与 UKFSS 的结果非常接近。这 3 种模型中有 2 种可以准确预测筛查后 17 年 CRC 发病率的相对降低。其中一种模型准确预测了筛查组的绝对发病率和死亡率。这些模型在筛查时检测到的腺瘤相关估计值方面存在差异。尽管高质量的筛查结果有助于为模型提供信息,但试验费用高昂,需要多年时间,并且在试验期间可能会受到伦理问题和技术变化的影响。因此,需要经过良好校准和验证的模型来预测缺乏数据的结果。本次验证的结果表明,模型可用于预测长期结果,并可用于协作建模以考虑不确定性。