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利用确定性链接提高巴西基于人群癌症登记处的随访时间。

Deterministic linkage for improving follow-up time in a Brazilian population-based cancer registry.

机构信息

Post Graduate Program of the Education and Research Institute, Barretos Cancer Hospital, Pio XII Foundation, Barretos, São Paulo, 14784-400, Brazil.

Based-Population Cancer Registry of Barretos Region, Barretos Cancer Hospital, Pio XII Foundation, Barretos, São Paulo, 14784-400, Brazil.

出版信息

Sci Rep. 2023 Mar 24;13(1):4816. doi: 10.1038/s41598-023-31303-6.

DOI:10.1038/s41598-023-31303-6
PMID:36964184
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10039007/
Abstract

Population-based cancer registries (PBCR) are the primary source of cancer incidence and survival statistics. The loss to follow-up of these patients is concerning since it reduces the reliability of any statistical analysis. The linkage techniques have been increasingly used to improve data quality in various information systems. The linkage was performed between the databases of the PBCR-Barretos and the mortality database of the state of São Paulo. To evaluate the improvement in the follow-up time of patients, the comparability of the two databases, pre- and post linkage, was made. Three analyses were performed: a comparative analysis of the absolute number of deaths, a comparative analysis of the follow-up time of patients and the survival analysis. After linkage, there was an increase of 813 deaths. The follow-up time of patients was extended and observed in most types of tumours. The comparability of the survival analyses at both time points also showed a decrease in survival probabilities for all tumour types. Deterministic linkage is effective in updating the vital status of registered patients, improving patient follow-up time, and maintaining good quality data from PBCRs, consequently producing more reliable rates, as seen for the survival analyses.

摘要

基于人群的癌症登记处(PBCR)是癌症发病率和生存率统计数据的主要来源。这些患者的随访丢失令人担忧,因为这会降低任何统计分析的可靠性。链接技术已越来越多地用于提高各种信息系统中的数据质量。对 PBCR-Barretos 的数据库和圣保罗州的死亡率数据库进行了链接。为了评估患者随访时间的改善情况,对链接前后两个数据库的可比性进行了评估。进行了三项分析:绝对死亡人数的比较分析、患者随访时间的比较分析和生存分析。链接后,死亡人数增加了 813 人。患者的随访时间延长,观察到大多数类型的肿瘤。两个时间点的生存分析的可比性也表明,所有肿瘤类型的生存率都有所下降。确定性链接可有效更新已登记患者的生命状态,延长患者随访时间,并保持 PBCR 的高质量数据,从而产生更可靠的比率,如生存分析所示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/1d65d707c2df/41598_2023_31303_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/517c4f4df397/41598_2023_31303_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/b011599d3181/41598_2023_31303_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/66e9d04b5b36/41598_2023_31303_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/a3e0f282908e/41598_2023_31303_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/1d65d707c2df/41598_2023_31303_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/517c4f4df397/41598_2023_31303_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/b011599d3181/41598_2023_31303_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/66e9d04b5b36/41598_2023_31303_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/a3e0f282908e/41598_2023_31303_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2ac/10039007/1d65d707c2df/41598_2023_31303_Fig5_HTML.jpg

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