Evidence map›Paper›PMID 41711817›Full record

ArticleRevista do Colegio Brasileiro de Cirurgioes2026

Diagnostic hypotheses and acute tomographic findings in the emergency room of a tertiary hospital: an accuracy study.

Meir Eduarda DA Rocha Dos Santos, Matheus Alberto Cella, Alissa Schimidt San Martin, Kaliandra Menezes Canton, Luciana Estacia Ambros, Jorge Roberto Marcante Carlotto

Abstract read
In one paragraph

Article in Revista do Colegio Brasileiro de Cirurgioes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Meir Eduarda DA Rocha Dos Santos- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0003-3680-3246
Matheus Alberto Cella- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0001-8610-1563
Alissa Schimidt San Martin- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0002-2094-774X
Kaliandra Menezes Canton- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0003-3314-2366
Luciana Estacia Ambros- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0001-5798-6016
Jorge Roberto Marcante Carlotto- Universidade de Passo Fundo, Escola de Medicina - Passo Fundo - RS- Brasil.ORCID http://orcid.org/0000-0001-5769-6123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGrowing technological innovation represents an advance in medical decision-making. However, the large number of computed tomography (CT) scans performed in the emergency department is worrying due to the costs generated by the hospital and the exposure of patients to ionizing radiation. The availability and performance of the exam, however, does not necessarily mean an increase in diagnoses, and some of these exams may not show any pathology or alteration. Thus, our study aims to evaluate the accuracy between the emergency physician's diagnostic hypothesis and the results of the requested tomography of the skull, thorax and abdomen segments. METHODOLOGY: Prospective cross-sectional study between September 2023 and February 2024. The sample consisted of 331 patients, the inclusion criteria being: majority, having undergone a tomographic examination of the skull, chest or abdomen and having signed the Free and Informed Consent Form (ICF).). Statistical analysis was performed using IBM SPSS Statistics 27.0 software.

results409 CT scans were analyzed, of the CT scans performed, 49.74% were devoid of acute findings. Proportion of agreement with the initial clinical diagnostic hypothesis was 39.5% in the skull, 40.3% in the abdomen and 43.7% in the thorax.

conclusionThis study identified low agreement between clinical hypotheses formulated in the emergency room of a tertiary hospital and acute tomographic findings, highlighting situations in which the use of CT was considered unnecessary for formulating the final diagnosis. However, it is pertinent to highlight the limitations of the study, above all, the impossibility of directly evaluating the reasons why each exam was requested within the subjective nuances of clinical practice.

Indexed as

Emergency Service, HospitalTomography, X-Ray ComputedAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesSkullTertiary Care Centers

Identifiers

PMID41711817
PMCPMC13142959

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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.