Evidence map›Paper›PMID 39502231›Full record

ArticleHeliyon2024

Impact of an emergency department closure on out-of-hospital cardiac arrest survival and emergency medical service system in Ulsan, South Korea.

Song Yi Park, Sun Hyu Kim, Byungho Choi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Song Yi ParkDepartment of Emergency Medicine, Ulsan University Hospital, Ulsan, Republic of Korea.
Sun Hyu KimDepartment of Emergency Medicine, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Republic of Korea.
Byungho ChoiDepartment of Emergency Medicine, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study evaluated the impact of an emergency department (ED) closure on out-of-hospital cardiac arrest survival outcomes and the emergency medical service system in Ulsan, South Korea. Methods: We conducted a retrospective observational cohort study from March 2017 to February 2021 and compared survival to hospital discharge and favorable neurological outcomes. We investigated transport time intervals (TTIs) in the total study population and subgroup covered by the closed ED. The analysis methods included propensity score matching (PSM), inverse propensity weighting (IPW), and logistic regression analysis. Results: The study included 692 and 920 patients before and after ED closure groups, respectively. After adjusting for covariates, the adjusted odds ratios and 95 % confidence interval for survival discharge and favorable neurological outcomes were 1.040 (0.749-1.444, p = 0.814) and 2.845 (1.563-5.177, p = 0.001), respectively. PSM showed values of 1.015 (0.727-1.416, p = 0.932) for discharge survival and 1.777 (1.074-2.941, p = 0.025) for neurological outcomes. IPW showed values of 0.980 (0.762-1.261, p = 0.875) for discharge survival and 1.782 (1.196-2.656, p = 0.005) for neurological outcomes. The TTI increased from 5.8 ± 5.0 to 6.7 ± 5.5 min (p < 0.001) in the total population and from 9.2 ± 7.9 to 16.2 ± 6.5 min (p < 0.001) in the subgroup. Conclusions: The findings suggest that while the overall system may remain stable, subgroups could be disproportionately affected by an ED closure, underscoring the importance of the ongoing monitoring of survival outcomes and transport times.

Indexed as

Emergency medical servicesHospitalsMortalityOut-of-hospital cardiac arrest

Identifiers

PMID39502231
PMCPMC11535986

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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.