Evidence map›Paper›PMID 41498059›Full record

ArticleJugan geon-gang gwa jilbyeong2025

Out-of-Hospital Sudden Cardiac Arrest Incidence in Daegu and Gyeongbuk, 2013-2023.

Younglim Shin, Yujin Jang, Sanghui Kweon

Abstract read
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2025. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Younglim ShinDivision of Chronic Disease Management, Gyeongbuk Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Daegu, Korea.ORCID https://orcid.org/0009-0005-5812-9610
Yujin JangDivision of Chronic Disease Management, Gyeongbuk Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Daegu, Korea.ORCID https://orcid.org/0009-0003-0554-2503
Sanghui KweonDivision of Chronic Disease Management, Gyeongbuk Regional Center for Disease Control and Prevention, Korea Disease Control and Prevention Agency, Daegu, Korea.ORCID https://orcid.org/0000-0002-2678-8858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to analyze the incidence, survival outcomes, and associated factors of out-of-hospital cardiac arrest (OHCA) in the Daegu and Gyeongbuk regions using Out-of-Hospital Cardiac Arrest Surveillance data. The goal was to provide evidence that supports improvements in regional emergency response systems. Methods: Microdata from the Out-of-Hospital Cardiac Arrest Surveillance covering 11 years (2013-2023) were analyzed. Incidence rates were calculated based on patients' residence. Survival indicators, including survival to discharge, neurological recovery, and bystander cardiopulmonary resuscitation (CPR) rate, were evaluated based on the location of cardiac arrest occurrence. Results: During the past decade, OHCA incidence in Daegu remained lower than the national rate, while Gyeongbuk consistently demonstrated a higher incidence. National survival and neurological recovery have gradually increased, but Gyeongbuk remained below the national average. Survival outcomes were significantly associated with public locations, witnessed events, and bystander CPR. Notably, Daegu has experienced a rapid increase in the bystander CPR rate, with a fivefold over the past decade (from 9.6% in 2013 to 50.9% in 2023). Conclusions: Early recognition and immediate bystander action are crucial for improving OHCA outcomes. Expanding public CPR training and strengthening community-based emergency response systems remain essential.

Indexed as

Bystander cardiopulmonary resuscitationGyeongbuk regionOut-of-hospital cardiac arrestSurvival rate

Identifiers

PMID41498059
PMCPMC12766112

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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.