Evidence map›Paper›PMID 38957703›Full record

ArticleResuscitation plus2024

Verification of the termination of resuscitation rules in pediatric out-of-hospital cardiac arrest cases.

Sakura Minami, Chiaki Toida, Mafumi Shinohara, Takeru Abe, Ichiro Takeuchi

Abstract read
In one paragraph

Article in Resuscitation plus, 2024. 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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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

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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

5 authors.

Sakura MinamiDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.
Chiaki ToidaDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.
Mafumi ShinoharaDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.
Takeru AbeDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.
Ichiro TakeuchiDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Pediatric out-of-hospital cardiac arrest has an unfavorable prognosis; therefore, making accurate predictions of outcomes is crucial for tailoring treatment plans. The termination of resuscitation rules must accurately predict unfavorable outcomes. In this study, we aimed to assess if the current termination of resuscitation rules for adults can predict factors associated with unfavorable outcomes in pediatric out-of-hospital cardiac arrest and examine the relationship between these factors and unfavorable outcomes. Methods: A retrospective nationwide cohort study of pediatric cases registered in the Japanese Association for Acute Medicine Multicenter Out-of-Hospital Cardiac Arrest Registry from June 1, 2014, to December 31, 2020, was conducted. The association between the current termination of resuscitation rules and outcomes, such as 30-day mortality and unfavorable 30-day neurological outcomes following out-of-hospital cardiac arrest, was evaluated. Results: A total of 1,216 participants were included. The positive predictive value for predicting 30-day mortality for each termination of resuscitation rule exceeded 0.9. The specificity and positive predictive value for predicting unfavorable 30-day neurological outcomes were 1.00, indicating that no rules identified favorable outcomes. Factors such as no bystander witness, no return of spontaneous circulation before hospital arrival, no automated external defibrillator or defibrillator use, and no bystander cardiopulmonary resuscitation were associated with poor 30-day mortality and neurological outcomes. Conclusion: Adult termination of resuscitation rules had a high positive predictive value for predicting pediatric out-of-hospital cardiac arrest. However, surviving cases make it challenging to use these rules for end-of-resuscitation decisions, indicating the need for identifying new rules to help predict neurological outcomes.

Indexed as

ChildrenLife supportNeurological outcomeOut-of-hospital cardiac arrestPositive predictive valueTermination of resuscitation

Identifiers

PMID38957703
PMCPMC11217751

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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.