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04/07/26

Examining atypical presentations associated with a higher risk of diagnostic errors using a new classification model.

Harada, Yukinori; Sakamoto, Tetsu; Wada, Yuya; Ishizuka, Kosuke; Kubosaki, Junko; Akutagawa, Koya; Suzuki, Tomoharu; Isoda, Sho; Nishizawa, Toshinori; Miyagami, Taiju; Watanuki, Satoshi; Kunitomo, Kotaro; Watari, Takashi; Shimizu, Taro. Diagnosis (Berl).

Collection Topics
Measurement, Monitoring, and Event Analysis
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Summary

Classic symptom patterns can aid diagnosis, but atypical presentations raise the risk of diagnostic error. This study applies a classification system for atypical presentations that can be used across specific diseases or more broadly. The authors argue that a detailed, nonbinary framework is needed to study how atypical presentations contribute to diagnostic errors and how to reduce them.

Read the paper
Harada Y, Sakamoto T, Wada Y, et al. Examining atypical presentations associated with a higher risk of diagnostic errors using a new classification model. Diagnosis (Berl). 2026;13(3):451-459.