Evidence map›Paper›PMID 40231395›Full record

ArticleDiagnosis (Berlin, Germany)2025

Diagnostic errors in patients admitted directly from new outpatient visits.

Yu Watanabe, Taiju Miyagami, Taro Shimizu, Yuji Nishizaki, Sho Ukishima, Koichiro Santo, Seiko Furusaka Kushiro, Nozomi Aoki, Mayu Suzuki, Akio Kanazawa and 1 more

Abstract read
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Article in Diagnosis (Berlin, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yu WatanabeDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Taiju MiyagamiDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.ORCID 0000-0002-4893-2224
Taro ShimizuDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Tochigi, Japan.
Yuji NishizakiDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Sho UkishimaDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Koichiro SantoDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Seiko Furusaka KushiroDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Nozomi AokiDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Mayu SuzukiDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Akio KanazawaDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Bunkyo-Ku, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiagnostic errors frequently represent significant adverse events that can occur in any medical setting, particularly in rushed handovers and constrained timing. Cases that result in emergency hospitalization at the time of the initial outpatient visit are more likely to have complex or serious patient conditions and more detrimental diagnostic errors. Our study investigated diagnostic errors in these under reported situations.

methodsWe conducted a retrospective study using electronic medical record data on patients who were directly admitted to a newly established outpatient clinic at a single university hospital in Japan. Diagnostic errors were assessed independently by two physicians using the Revised Safer Dx instrument. We analyzed patient demographics, symptoms, referrals, and resident doctor (postgraduate-year-1) involvement using logistic regression to compare groups with and without diagnostic error. Additionally, we employed the Diagnostic Error Evaluation and Research (DEER) taxonomy and Generic Diagnostic Pitfalls (GDP) to examine the factors associated with diagnostic errors.

resultsThe study included 321 patients, with diagnostic errors identified in 39 cases (12.1 %). Factors contributing to diagnostic errors included the involvement of young residents, male patients, the number of symptoms, and atypical presentation. The most common causes of diagnostic errors were "too much weight given to competing/coexisting diagnosis" as indicated by DEER and "atypical presentation" by GDP.

conclusionsThe frequency of diagnostic errors in this study was higher than those in previous studies of new outpatient visits, underscoring the imperative for heightened scrutiny in cases involving medical residents especially when patients present with multiple or atypical symptoms. This vigilance is crucial to mitigating the risk of diagnostic inaccuracies in these settings. Cases that result in emergency hospitalization at the time of the initial outpatient visit are more likely to have complex or serious patient conditions and more detrimental diagnostic errors.

Indexed as

Ambulatory CareDiagnostic ErrorsAdolescentAdultAgedAged, 80 and overElectronic Health RecordsFemaleHospitalizationHumansJapanMaleMiddle AgedOutpatientsRetrospective StudiesYoung Adultdiagnostic erroreducationrecognition

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.