Diagnostic errors in uncommon conditions: a systematic review of case reports of diagnostic errors.

Autor:	Harada Y; Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga-Gun, Japan., Watari T; General Medicine Center, Shimane University Hospital, Izumo, Japan., Nagano H; Department of Healthcare Economics and Quality Management, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Suzuki T; Urasoe General Hospital, Urasoe, Japan., Kunitomo K; National Hospital Organisation Kumamoto Medical Center, Kumamoto, Japan., Miyagami T; Juntendo Daigaku, Bunkyo-Ku, Japan., Aita T; Department of General Internal Medicine, Fukushima Medical University, Fukushima, Japan., Ishizuka K; Department of General Medicine, Yokohama City University School of Medicine, Yokohama, Japan., Maebashi M; Nasu Red Cross Hospital, Otawara, Japan., Harada T; Division of General Medicine, Nerima Hikarigaoka Hospital, Nerima-Ku, Tokyo., Sakamoto T; Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga-Gun, Japan., Tomiyama S; Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga-Gun, Japan., Shimizu T; Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Shimotsuga-Gun, Japan.
Jazyk:	angličtina
Zdroj:	Diagnosis (Berlin, Germany) [Diagnosis (Berl)] 2023 Aug 10; Vol. 10 (4), pp. 329-336. Date of Electronic Publication: 2023 Aug 10 (Print Publication: 2023).
DOI:	10.1515/dx-2023-0030
Abstrakt:	Objectives: To assess the usefulness of case reports as sources for research on diagnostic errors in uncommon diseases and atypical presentations. Content: 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. Summary and Outlook: 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. (© 2023 Walter de Gruyter GmbH, Berlin/Boston.)
Databáze:	MEDLINE
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