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利用癌症登记数据:安大略癌症登记处与一项乳腺癌患者纵向研究之间在死因数据上的一致性。

Using cancer registry data: agreement in cause-of-death data between the Ontario Cancer Registry and a longitudinal study of breast cancer patients.

作者信息

Brenner D R, Tammemägi M C, Bull S B, Pinnaduwaje D, Andrulis I L

机构信息

The Prosserman Centre for Health Research, Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, ON.

出版信息

Chronic Dis Can. 2009;30(1):16-9.

Abstract

Data from the Ontario Cancer Registry (OCR) were compared with data from a multi-centred prospective cohort of 1655 node-negative breast cancer patients with intensive clinical follow-up. Agreement in cause of death was evaluated using kappa statistics. The accuracy of OCR classification was evaluated against the Mount Sinai Hospital (MSH) study oncologist's interpretation of intensely followed, cohort-collected data as the reference standard. The two sources showed a high level of agreement (kappa statistic [kappa] = 0.88; 95% confidence interval [CI]: 0.86, 0.90) in vital status and cause of death. Among those cases where both sources reported a death, the OCR had a sensitivity of 95% (95% CI: 90.5, 98.8) and a specificity of 88% (95% CI: 79.6, 92.4). The OCR is a valuable tool for epidemiologic studies of breast cancer to acquire adequate and easily attainable cause-of-death information.

摘要

安大略癌症登记处(OCR)的数据与一个多中心前瞻性队列中1655例淋巴结阴性乳腺癌患者的数据进行了比较,该队列进行了密集的临床随访。使用kappa统计量评估死亡原因的一致性。以西奈山医院(MSH)研究肿瘤学家对密集随访的队列收集数据的解释作为参考标准,评估OCR分类的准确性。这两个来源在生命状态和死亡原因方面显示出高度一致性(kappa统计量[kappa]=0.88;95%置信区间[CI]:0.86,0.90)。在两个来源均报告死亡的病例中,OCR的敏感性为95%(95%CI:90.5,98.8),特异性为88%(95%CI:79.6,92.4)。OCR是乳腺癌流行病学研究中获取充分且易于获得的死亡原因信息的宝贵工具。

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