Evidence map›Paper›PMID 40961047›Full record

ArticlePloS one2025

Sex differences in clinical characteristics, timeliness of care, and in-hospital outcomes of adult non-trauma patients in the emergency department.

Kun-Chuan Chen, Ji-Ze Hsu, Shu-Hui Wen

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Urgent Admission and Inequities in Acute Hospital Stay in Canada.International journal of environmental research and public health · 2026
    Article
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

3 authors.

Kun-Chuan ChenDepartment of Emergency Medicine, Hualien Tzu Chi Hospital, Hualien City, Taiwan.
Ji-Ze HsuDepartment of Medical Research, Hualien Tzu Chi Hospital, Hualien City, Taiwan.
Shu-Hui WenInstitute of Medical Sciences, Tzu Chi University, Hualien City, Taiwan.ORCID 0000-0003-1402-9114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on sex differences in the clinical characteristics and outcomes of unselected emergency department (ED) patients are limited. We conducted a retrospective real-world cohort study to evaluate sex differences in clinical characteristics, ED timeliness of care, and in-hospital outcomes of adult non-trauma ED patients.

methodsData from adult non-trauma patients who paid their first ED visit to a tertiary medical center from January 2018 to Jun 2020 were retrospectively analyzed. The patients were divided into male and female cohorts. The ED length of stay (LOS) was measured as the outcome of timeliness of care, whereas hospital admission, hospital LOS, and in-hospital mortality were measured as the in-hospital outcomes. Multivariate regression analyses were utilized to investigate the association between sex and outcomes.

resultsOf the 43,661 patients included, 49.2% were males. The male cohort was older and had higher incidences of interhospital transfer and Taiwan Triage and Acuity Scale (TTAS) levels 1 and 2, higher mean Charlson comorbidity index, and more comorbidities than the female cohort. The male cohort had longer ED LOS and hospital LOS and higher incidences of hospital admission and in-hospital mortality. Multivariate regression analyses revealed that the male sex was an independent risk factor associated with adverse outcomes after adjustment for confounding factors. All these adverse outcomes were found in the male subgroup with TTAS levels 1-3.

conclusionsOur study identified sex differences in clinical characteristics, ED timeliness of care, and in-hospital outcomes of adult non-trauma ED patients. Male patients had various unfavorable conditions, including having older age, higher acuity levels, and more comorbidities, and were at higher unadjusted and adjusted risk for adverse outcomes on ED LOS, hospital admission, hospital LOS, and in-hospital mortality. The male subgroup with TTAS levels 1-3 was vulnerable to the negative impact of sex on these outcomes.

Indexed as

Emergency Service, HospitalAdultAgedFemaleHospitalizationHospital MortalityHumansLength of StayMaleMiddle AgedRetrospective StudiesRisk FactorsSex FactorsTaiwan

Identifiers

PMID40961047
PMCPMC12443277

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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.