title: Full dates (day, month, year) should be used in population-based cancer survival studies.
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.
authors.affiliation: Cancer Research UK Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom. laura.woods@lshtm.ac.uk
authors.forename: Laura M
authors.initials: LM
authors.lastname: Woods
authors.forename: Bernard
authors.initials: B
authors.lastname: Rachet
authors.forename: Libby
authors.initials: L
authors.lastname: Ellis
authors.forename: Michel P
authors.initials: MP
authors.lastname: Coleman
mesh_terms: D002910:Chronology as Topic; D006801:Humans; D009369:Neoplasms / Q000401:mortality*; D012042:Registries; D016019:Survival Analysis