Virtual Pooled Registry-Cancer Linkage System: an improved method for ascertaining cancer diagnoses.

Dennis Deapen, Castine Clerkin, William Howe, Don Green, Christopher J Johnson, Betsy A Kohler, Annelie M Landgren, Anca Preda, Joanne Elena, Lynne Penberthy
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Abstract

Background: The National Cancer Institute funds many large cohort studies that rely on self-reported cancer data requiring medical record validation. This is labor intensive, costly, and prone to underreporting or misreporting of cancer and disparity-related differential response. US population-based central cancer registries identify incident cancer within their catchment area, yielding all malignant neoplasms and benign brain and central nervous system tumors with standardized data fields. This manuscript describes the development, implementation, and features of a system to facilitate linkage between cohort studies and cancer registries and the release of cancer registry data for matched cohort participants.

Methods: The Virtual Pooled Registry-Cancer Linkage System (VPR-CLS) provides an online system to link cohorts with multiple state cancer registries by 1) securely transmitting a study file to registries, 2) providing an optimized linkage algorithm to generate preliminary match counts, and 3) providing a streamlined process and templated forms for submitting and tracking data requests for cohort participants who matched with registries.

Results: In 2022, the VPR-CLS launched with 45 registries, covering 95% of the US state populations and Puerto Rico. Registries have linked with 15 studies having 14 273-10.9 million participants. Except in 1 study, linkage sensitivity ranged from 87.0% to 99.9%. Numerous registries have adopted the VPR-CLS templated institutional review board-registry application (n = 39), templated data use agreement (n = 25), and central institutional review board (n = 16).

Conclusions: The VPR-CLS markedly improves ascertainment of cancer outcomes and is the preferred approach for determination of outcomes from cohort studies, postmarketing surveillance, and clinical trials.

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虚拟汇集登记-癌症链接系统:确定癌症诊断的改进方法。
背景:美国国家癌症研究所(National Cancer Institute)资助了许多大型队列研究,这些研究依赖于需要病历验证的自我报告癌症数据。这种方法劳动强度大、成本高,而且容易出现少报或误报癌症以及与差异相关的不同反应。美国以人口为基础的中央癌症登记处可识别其覆盖范围内的癌症事件,通过标准化的数据字段获得所有恶性肿瘤以及良性脑和中枢神经系统肿瘤的数据。本手稿介绍了一个系统的开发、实施和特点,该系统旨在促进队列研究与癌症登记之间的联系,并发布匹配队列参与者的癌症登记数据:虚拟汇集登记处-癌症链接系统(VPR-CLS)提供了一个在线系统,通过以下方式将队列研究与多个州立癌症登记处链接起来:1)安全地将研究文件传输给登记处;2)提供优化的链接算法以生成初步的匹配计数;3)提供简化的流程和模板表格,用于提交和跟踪与登记处匹配的队列参与者的数据请求:2022 年,VPR-CLS 启动了 45 个登记处,覆盖了美国 95% 的州和波多黎各人口。登记处已与 15 项研究建立联系,共有 14 273-1090 万名参与者。除一项研究外,链接灵敏度从 87.0% 到 99.9% 不等。许多登记处采用了VPR-CLS模板机构审查委员会-登记处应用程序(39人)、模板数据使用协议(25人)和中央机构审查委员会(16人):结论:VPR-CLS 明显改善了癌症结果的确定,是确定队列研究、上市后监测和临床试验结果的首选方法。
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