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Get Free AccessAbstract Cancer stage at diagnosis is important information for management and treatment of individual patients as well as in epidemiological studies to evaluate effectiveness of health care system in managing cancer patients. Population‐based studies to examine international disparities on cancer survival by stage, however, has been challenging due to the lack of international standardization on recording stage information and variation in stage completeness across regions and countries. The International Cancer Benchmarking Partnership (ICBP) previously assessed the availability and comparability of staging information for colorectal, lung, female breast and ovarian cancers. Stage conversion algorithms were developed to aggregate and map all stage information into a single staging system to allow international comparison by stage at diagnosis. In this article, we developed stage conversion algorithms for three additional cancers, namely oesophageal, gastric and pancreatic cancers. We examined all stage information available, evaluated stage completeness, applied each stage conversion algorithm, and assessed the magnitude of misclassification using data from six Canadian cancer registries (Alberta, Manitoba, Newfoundland, Nova Scotia, Prince Edward Island and Saskatchewan). In addition, we discussed five recommendations for registries to improve international cancer survival comparison by stage: (a) improve collection and completeness of staging data; (b) promote a comparable definition for stage at diagnosis; (c) promote the use of a common stage classification system; (d) record versions of staging classifications and (e) use multiple data sources for valid staging data.
Citadel J. Cabasag, Melina Arnold, Marion Piñeros, Eileen Morgan, James D. Brierley, Jim Hofferkamp, Sean Kehoe, John Butler, Oliver Bucher, Freddie Ian Bray, Isabelle Soerjomataram, Donald Maxwell Parkin (2021). Population‐based cancer staging for oesophageal, gastric, and pancreatic cancer 2012‐2014: International Cancer Benchmarking Partnership <scp>SurvMark</scp>‐2. , 149(6), DOI: https://doi.org/10.1002/ijc.33679.
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Type
Article
Year
2021
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/ijc.33679
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