The reliability of multi-source data linkage for population-based cancer survival estimates: A study in a metropolitan cancer registry of China

Yubing Shen, Ruiying Fu, Xiaofeng Wang, Xinyu Zhang, Ying Zhou, Yiheng Zhou, Jue Liu, Dan Mei, Bingfeng Han, Li Li, Shaoming Wang, Ru Chen, Kexin Sun, Hong Lin, Huijuan Mu, Ke Sun, Hongmei Zeng, Wenqiang Wei
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Abstract

Background

Population-based cancer survival is a key metric in evaluating the overall effectiveness of health services and cancer control activities. Advancement in information technology enables accurate vital status tracking through multi-source data linkage. However, its reliability for survival estimates in China is unclear.

Methods

We analyzed data from Dalian Cancer Registry to evaluate the reliability of multi-source data linkage for population-based cancer survival estimates in China. Newly diagnosed cancer patients in 2015 were included and followed until June 2021. We conducted single-source data linkage by linking patients to Dalian Vital Statistics System, and multi-source data linkage by further linking to Dalian Household Registration System and the hospital medical records. Patient vital status was subsequently determined through active follow-up via telephone calls, referred to as comprehensive follow-up, which served as the gold standard. Using the cohort method, we calculated 5-year observed survival and age-standardized relative survival for 20 cancer types and all cancers combined.

Results

Compared to comprehensive follow-up, single-source data linkage overestimated 5-year observed survival by 3.2% for all cancers combined, ranging from 0.1% to 8.6% across 20 cancer types. Multi-source data linkage provided a relatively complete patient vital status, with an observed survival estimate of only 0.3% higher for all cancers, ranging from 0% to 1.5% across 20 cancer types.

Conclusion

Multi-source data linkage contributes to reliable population-based cancer survival estimates in China. Linkage of multiple databases might be of great value in improving the efficiency of follow-up and the quality of survival data for cancer patients in developing countries.

Abstract Image

基于人口的癌症生存率估算中多源数据关联的可靠性:中国大都市癌症登记处的一项研究
背景 基于人口的癌症存活率是评估医疗服务和癌症控制活动整体效果的关键指标。信息技术的进步使我们能够通过多源数据链接准确追踪生命状态。然而,该技术在中国用于生存率评估的可靠性尚不明确。 方法 我们分析了大连癌症登记中心的数据,以评估多源数据关联在中国基于人群的癌症生存率估算中的可靠性。我们纳入了 2015 年新确诊的癌症患者,并对其进行随访至 2021 年 6 月。我们将患者与大连生命统计系统进行了单源数据关联,并进一步与大连户籍系统和医院病历进行了多源数据关联。随后,通过电话主动随访确定患者的生命状态,这被称为全面随访,也是金标准。我们采用队列方法计算了 20 种癌症和所有癌症的 5 年观察生存率和年龄标准化相对生存率。 结果 与全面随访相比,单源数据链接将所有癌症的 5 年观察生存率高估了 3.2%,20 种癌症的高估率从 0.1% 到 8.6% 不等。多源数据关联提供了相对完整的患者生命状态,对所有癌症的观察生存率估计仅高出 0.3%,20 种癌症的观察生存率从 0% 到 1.5% 不等。 结论 多源数据关联有助于可靠地估算中国人群癌症生存率。多个数据库的链接对于提高发展中国家癌症患者的随访效率和生存数据质量具有重要价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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