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A natural history model for planning prostate cancer testing: Calibration and validation using Swedish registry data

机译:用于规划前列腺癌测试的自然历史模型:使用瑞典注册数据进行校准和验证

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摘要

Recent prostate cancer screening trials have given conflicting results and it is unclear how to reduce prostate cancer mortality while minimising overdiagnosis and overtreatment. Prostate cancer testing is a partially observable process, and planning for testing requires either extrapolation from randomised controlled trials or, more flexibly, modelling of the cancer natural history. An existing US prostate cancer natural history model (Gulati et al, Biostatistics 2010;11:707-719) did not model for differences in survival between Gleason 6 and 7 cancers and predicted too few Gleason 7 cancers for contemporary Sweden. We re-implemented and re-calibrated the US model to Sweden. We extended the model to more finely describe the disease states, their time to biopsy-detectable cancer and prostate cancer survival. We first calibrated the model to the incidence rate ratio observed in the European Randomised Study of Screening for Prostate Cancer (ERSPC) together with age-specific cancer staging observed in the Stockholm PSA (prostate-specific antigen) and Biopsy Register; we then calibrated age-specific survival by disease states under contemporary testing and treatment using the Swedish National Prostate Cancer Register. After calibration, we were able to closely match observed prostate cancer incidence trends in Sweden. Assuming that patients detected at an earlier stage by screening receive a commensurate survival improvement, we find that the calibrated model replicates the observed mortality reduction in a simulation of ERSPC. Using the resulting model, we predicted incidence and mortality following the introduction of regular testing. Compared with a model of the current testing pattern, organised 8 yearly testing for men aged 55–69 years was predicted to reduce prostate cancer incidence by 14% and increase prostate cancer mortality by 2%. The model is open source and suitable for planning for effective prostate cancer screening into the future.
机译:最近的前列腺癌筛查试验得出了相互矛盾的结果,目前尚不清楚如何降低前列腺癌的死亡率,同时最大程度地减少过度诊断和过度治疗。前列腺癌测试是一个部分可观察的过程,测试计划需要从随机对照试验中推断,或者更灵活地对癌症自然史进行建模。现有的美国前列腺癌​​自然史模型(Gulati等人,Biostatistics 2010; 11:707-719)没有为格里森6和7癌症之间的生存差异建模,并且预测当代瑞典的格里森7癌症太少。我们重新实现了美国模型并将其重新校准到瑞典。我们扩展了模型,以更精确地描述疾病状态,活检可检测的癌症和前列腺癌生存的时间。我们首先将模型校正为在欧洲前列腺癌筛查随机研究(ERSPC)中观察到的发生率比率,以及在斯德哥尔摩PSA(前列腺特异性抗原)和活检记录仪中观察到的特定年龄癌症分期;然后,我们使用瑞典国家前列腺癌登记册,通过当代测试和治疗方法按疾病状态校正了特定年龄段的生存率。校准后,我们​​能够紧密匹配瑞典观察到的前列腺癌发病率趋势。假设通过筛查在早期发现的患者的生存率得到了相应的提高,我们发现,校正后的模型可以在ERSPC模拟中复制观察到的死亡率降低。使用结果模型,我们在引入常规测试后预测了发病率和死亡率。与当前测试模式的模型相比,针对55-69岁男性进行的有组织的8年期测试预计将减少14%的前列腺癌发生率,并增加2%的前列腺癌死亡率。该模型是开源的,适合于将来规划有效的前列腺癌筛查。

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