目的:评估病例报告作为不常见疾病和非典型表现的诊断错误研究来源的有用性。
背景:我们回顾了563例诊断错误的病例报告。最终诊断的共性根据文章中的描述进行分类,Orphanet,或有关可用参考文献的流行病学数据;根据文章中的描述和医师研究人员的判断,对呈现的典型性进行了分类。诊断错误评估与研究(DEER),可靠诊断挑战(RDC),和通用诊断陷阱(GDP)分类用于评估导致诊断错误的因素。
■排除不能分类的三种情况,560例分为四类:常见疾病的典型表现(60,10.7%),常见疾病的非典型表现(35,6.2%),罕见疾病的典型表现(276,49.3%),和不常见疾病的非典型表现(189,33.8%)。在四个类别中,最重要的DEER分类法是“考虑诊断失败/延迟”,而最重要的RDC和GDP分类因类别而异。病例报告可以成为研究具有或不具有非典型表现的罕见疾病的诊断错误的有用数据源。
OBJECTIVE: To assess the usefulness of case reports as sources for research on diagnostic errors in uncommon diseases and atypical presentations.
BACKGROUND: We reviewed 563 case reports of diagnostic error. The commonality of the final diagnoses was classified based on the description in the articles, Orphanet, or epidemiological data on available references; the typicality of presentation was classified based on the description in the articles and the judgment of the physician researchers. Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC), and Generic Diagnostic Pitfalls (GDP) taxonomies were used to assess the factors contributing to diagnostic errors.
UNASSIGNED: Excluding three cases in that commonality could not be classified, 560 cases were classified into four categories: typical presentations of common diseases (60, 10.7 %), atypical presentations of common diseases (35, 6.2 %), typical presentations of uncommon diseases (276, 49.3 %), and atypical presentations of uncommon diseases (189, 33.8 %). The most important DEER taxonomy was \"Failure/delay in considering the diagnosis\" among the four categories, whereas the most important RDC and GDP taxonomies varied with the categories. Case reports can be a useful data source for research on the diagnostic errors of uncommon diseases with or without atypical presentations.