Literature DB >> 22438030

Full dates (day, month, year) should be used in population-based cancer survival studies.

Laura M Woods1, Bernard Rachet, Libby Ellis, Michel P Coleman.   

Abstract

Accurate survival estimates are essential for monitoring cancer survival trends, for health care planning and for resource allocation. To obtain precise estimates of survival, full dates (day, month and year) rather than partial dates (month and year) are required. In some jurisdictions, however, cancer registries are constrained from providing full dates on the grounds of confidentiality. The bias resulting from the use of partial dates in the estimation and comparison of survival makes it impossible to determine precisely the differences in the risk of death from cancer between population groups or in successive calendar periods. Important operational arguments also exist against the use of incomplete dates for survival analysis, including increased workload for cancer registry staff and the introduction of avoidable complexity for quality control of survival data. Cancer survival is one of the most widely known outputs produced by population-based cancer registries, and it is a crucial metric for the comparative effectiveness of health services. The bodies that set data access guidelines must take a more balanced view of the risks and benefits of using full dates for the estimation of cancer survival.
Copyright © 2012 UICC.

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Year:  2012        PMID: 22438030     DOI: 10.1002/ijc.27545

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  5 in total

1.  Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2).

Authors:  Claudia Allemani; Hannah K Weir; Helena Carreira; Rhea Harewood; Devon Spika; Xiao-Si Wang; Finian Bannon; Jane V Ahn; Christopher J Johnson; Audrey Bonaventure; Rafael Marcos-Gragera; Charles Stiller; Gulnar Azevedo e Silva; Wan-Qing Chen; Olufemi J Ogunbiyi; Bernard Rachet; Matthew J Soeberg; Hui You; Tomohiro Matsuda; Magdalena Bielska-Lasota; Hans Storm; Thomas C Tucker; Michel P Coleman
Journal:  Lancet       Date:  2014-11-26       Impact factor: 79.321

2.  Association between renal function and cardiovascular mortality: a retrospective cohort study of elderly from health check-up.

Authors:  Ying-Jhen Huang; Yu-Lin Hsu; Yung-Hsin Chuang; Hugo Y-H Lin; Yen-Hsu Chen; Ta-Chien Chan
Journal:  BMJ Open       Date:  2021-09-21       Impact factor: 3.006

3.  Global surveillance of trends in cancer survival 2000-14 (CONCORD-3): analysis of individual records for 37 513 025 patients diagnosed with one of 18 cancers from 322 population-based registries in 71 countries.

Authors:  Claudia Allemani; Tomohiro Matsuda; Veronica Di Carlo; Rhea Harewood; Melissa Matz; Maja Nikšić; Audrey Bonaventure; Mikhail Valkov; Christopher J Johnson; Jacques Estève; Olufemi J Ogunbiyi; Gulnar Azevedo E Silva; Wan-Qing Chen; Sultan Eser; Gerda Engholm; Charles A Stiller; Alain Monnereau; Ryan R Woods; Otto Visser; Gek Hsiang Lim; Joanne Aitken; Hannah K Weir; Michel P Coleman
Journal:  Lancet       Date:  2018-01-31       Impact factor: 79.321

Review 4.  Critical Points for Interpreting Patients' Survival Rate Using Cancer Registries: A Literature Review.

Authors:  Ayako Okuyama; Akiko Shibata; Hiroshi Nishimoto
Journal:  J Epidemiol       Date:  2017-10-28       Impact factor: 3.211

5.  The Association Between Renal Function Decline and the Incidence of Urothelial Carcinoma: A 16-year Retrospective Cohort Study in Taiwan.

Authors:  Yung-Hsin Chuang; I-Feng Lin; Xiang Qian Lao; Changqing Lin; Ta-Chien Chan
Journal:  Eur Urol Open Sci       Date:  2021-03-11
  5 in total

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