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A validated algorithm to ascertain colorectal cancer recurrence using registry resources in Denmark

机译:在丹麦使用注册管理机构资源验证结直肠癌复发的经过验证的算法

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摘要

Colorectal cancer recurrences are difficult to ascertain accurately and efficiently. We developed and validated an algorithm to identify recurrences that uses Danish medical registries. The algorithm uses metastasis and chemotherapy codes in the Danish National Patient Registry and codes indicating cancer recurrence in the Danish Pathology Registry. We applied the algorithm to a cohort (n=21,246) of colorectal cancer patients diagnosed 2001-2011 and followed through 2012. In a cohort (n=355) of two groups of actively followed patients, we compared the imputed recurrence data with recurrences diagnosed by regular follow-up. We compared cumulative incidence curves of imputed recurrence in local and regional stage patients from the large cohort, and of imputed and diagnosed recurrences in the actively followed cohort. In the 355 members of the actively followed cohort, our algorithm correctly identified 60 of 63 recurrences [sensitivity=95%; 95% confidence interval (CI) 87-99%] and misclassified only 10 of 292 without recurrence (specificity=97%; 95% CI 94-98%). Cumulative incidence curves showed that members of the large cohort with regional disease had much higher incidence of imputed recurrence than those with local disease. In the actively followed cohort, the cumulative incidence of recurrence overlapped substantially when recurrence was imputed by our algorithm or using the follow-up data. Despite some limitations regarding ambiguous pathology codes, our algorithm showed excellent performance against actively followed recurrence data, and the expected relation between recurrence risk and cancer stage. It can be used in the Danish registries and adapted to similar registries elsewhere.
机译:大肠癌的复发很难准确,有效地确定。我们开发并验证了一种使用丹麦医学注册机构识​​别复发的算法。该算法使用丹麦国家患者注册中心中的转移和化疗代码,以及丹麦病理注册中心中指示癌症复发的代码。我们将该算法应用于2001-2011年诊断为大肠癌的队列(n = 21,246),并持续到2012年。在两组积极追踪患者的队列(n = 355)中,我们将估算的复发数据与确诊的复发进行了比较通过定期跟进。我们比较了来自大型队列的局部和区域阶段患者的估算的复发的累积发生率曲线,以及积极追踪的队列中的估算和诊断的复发的累积发生率曲线。在355名积极追踪的队列成员中,我们的算法正确识别了63例复发中的60例[敏感性= 95%; 95%置信区间(CI)为87-99%],并且仅将292错误分类为10个而没有复发(特异性= 97%; 95%CI 94-98%)。累积发生率曲线表明,患有局部疾病的大队列成员的推算复发率要高于局部疾病。在积极追踪的队列中,当通过我们的算法或使用随访数据估算复发时,复发的累积发生率基本重叠。尽管对于不确定的病理学代码有一些限制,但是我们的算法在主动跟踪复发数据方面表现出了出色的性能,以及复发风险与癌症分期之间的预期关系。它可以在丹麦注册管理机构中使用,并且可以在其他地方适用于类似的注册管理机构。

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