O'Rorke Michael A, Werner Isaac R, McDowell Bradley D, Chrischilles Elizabeth A
Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa.
Holden Comprehensive Cancer Center, University of Iowa, Iowa City, Iowa.
Cancer Epidemiol Biomarkers Prev. 2025 Jul 1;34(7):1055-1058. doi: 10.1158/1055-9965.EPI-25-0286.
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.
错误分类和测量误差是流行病学研究中的一个重要问题。特别是在使用像英国生物银行这样的大型数据集时，我们发现胰腺神经内分泌肿瘤经常被错误地纳入专注于外分泌性胰腺癌的研究中。当研究仅使用国际疾病分类代码来定义其病例时，就会出现这种情况。使用《国际疾病分类肿瘤学第三版》组织学编码可以防止这个问题。本评论探讨了该问题在已发表文献中的普遍性，并强调了其对现有研究的潜在影响。实施严格的编码实践并促进研究人员之间的一致使用，对于确保未来使用英国生物银行进行的胰腺癌研究获得有效和可靠的结果至关重要。
