Evidence map›Paper›PMID 37511675›Full record

ArticleJournal of personalized medicine2023

Arterial Blood Gas Analysis for Survival Prediction in Pediatric Patients with Out-of-Hospital Cardiac Arrest.

Sang-Hwan Lee, Hyungoo Shin, Yongil Cho, Jaehoon Oh, Hyuk-Joong Choi, The Korean Cardiac Arrest Research Consortium KoCARC Investigators

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2023. 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

6 authors.

Sang-Hwan LeeDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0001-5782-4551
Hyungoo ShinDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0003-3203-1672
Yongil ChoDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.
Jaehoon OhDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0001-8055-1467
Hyuk-Joong ChoiDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-5458-5919
The Korean Cardiac Arrest Research Consortium KoCARC InvestigatorsDepartment of Emergency Medicine, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arterial blood gas analysis (ABGA) is one of the few tests performed during cardiopulmonary resuscitation (CPR). There have been some studies on the prediction of survival outcomes in adult out-of-hospital cardiac arrest (OHCA) patients during CPR using ABGA results. However, in pediatric OHCA patients, the prognosis of survival outcome based on ABGA results during CPR remains unclear. We retrospectively analyzed prospectively collected data from the Korean Cardiac Arrest Resuscitation Consortium (KoCARC) registry, a multicenter OHCA registry of Republic of Korea. We analyzed 108 pediatric (age < 19 years) OHCA patients between October 2015 and June 2022. Using multivariable logistic regression, an adjusted odds ratio (aOR) was obtained to validate the ABGA results of survival to hospital admission and survival to discharge. The variables associated with survival to hospital admission were non-comorbidities (aOR 3.03, 95% confidence interval (CI) 1.22-7.53,

Indexed as

blood gas analysisout-of-hospital cardiac arrestpediatricreturn of spontaneous circulation

Identifiers

PMID37511675
PMCPMC10381305

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.