August 11, 2025British Journal of CancerOpen Access

Why NHS hospital co-morbidity research may be wrong: how clinical coding fails to identify the impact of diabetes mellitus on cancer survival

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Observational study highlights inaccuracies in clinical coding for diabetes, suggesting it misrepresents cancer survival outcomes.

Clinical coding inaccurately identified 14.6% of diabetic cancer patients, impacting survival analysis results significantly.
Analysis of 123,841 cancer patients revealed a temporal misclassification rate of 17.5% for diabetes diagnoses within clinical coding.
Retrospective observational study employed three definitions to identify diabetes among cancer patients, relying on real-world data.
Findings underscore the need for improved data definitions to accurately assess co-morbidity effects on cancer outcomes.

Zucker et al. (2025) studied this question.

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