Journal article
Misclassification Matters: A Case for Utilization of Histologic Coding in UK Biobank Analyses
Cancer epidemiology, biomarkers & prevention, Vol.34(7), pp.1055-1058
07/01/2025
DOI: 10.1158/1055-9965.EPI-25-0286
PMID: 40589280
Abstract
Misclassification and measurement error is a significant issue in epidemiologic research. When utilizing large datasets like the UK Biobank in particular, we found that pancreatic neuroendocrine neoplasms are often erroneously included in studies focused on exocrine pancreatic cancer. This happens when studies use only International Classification of Diseases codes to define their cases. The use of International Classification of Diseases for Oncology, Third Edition histologic coding can prevent this problem. This commentary examines the prevalence of this issue in published literature and highlights its potential impact on existing studies. Implementing rigorous coding practices and promoting their consistent use among researchers are crucial for ensuring valid and reliable findings in future pancreatic cancer studies using the UK Biobank.
Details
- Title: Subtitle
- Misclassification Matters: A Case for Utilization of Histologic Coding in UK Biobank Analyses
- Creators
- Michael A O'Rorke - University of IowaIsaac R Werner - University of IowaBradley D McDowell - University of IowaElizabeth A Chrischilles - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Cancer epidemiology, biomarkers & prevention, Vol.34(7), pp.1055-1058
- Publisher
- American Association for Cancer Research
- DOI
- 10.1158/1055-9965.EPI-25-0286
- PMID
- 40589280
- ISSN
- 1055-9965
- eISSN
- 1538-7755
- Language
- English
- Date published
- 07/01/2025
- Academic Unit
- Pharmacy; Epidemiology; Pathology; Holden Comprehensive Cancer Center
- Record Identifier
- 9984843600402771
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