Evidence map›Paper›PMID 41914415›Full record

ArticleZhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics2026

[Risk factors for mortality in children with severe drowning: a 10-year single-center retrospective study].

Yi-Xian Yang, Lyu Yan, Hua Yu, Lyu-Ping Xiong, Hong Liu, Qiang Chen

Abstract readEnglish Abstract
In one paragraph

Article in Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics, 2026. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi-Xian YangDepartment of Respiratory Medicine, Jiangxi Provincial Children's Hospital, Nanchang 330038, China.
Lyu YanDepartment of Respiratory Medicine, Jiangxi Provincial Children's Hospital, Nanchang 330038, China.
Hua YuDepartment of Respiratory Medicine, Jiangxi Provincial Children's Hospital, Nanchang 330038, China.
Lyu-Ping XiongDepartment of Respiratory Medicine, Jiangxi Provincial Children's Hospital, Nanchang 330038, China.
Hong LiuDepartment of Respiratory Medicine, Jiangxi Provincial Children's Hospital, Nanchang 330038, China.
Qiang Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the clinical characteristics of children with severe drowning admitted to the pediatric intensive care unit and to identify risk factors for mortality.

methodsClinical data of 49 children with severe drowning admitted between January 2015 and December 2024 were retrospectively analyzed. Multivariable logistic regression was used to determine risk factors for mortality and to construct a prediction model. Model performance for mortality risk was evaluated using the receiver operating characteristic (ROC) curve.

resultsAmong the 49 patients, the mortality rate was 24% (12/49), and the incidence of neurological sequelae among survivors was 22% (8/37). Multivariable logistic regression analysis showed that admission Glasgow Coma Scale (GCS) score (

conclusionsSevere drowning in children has a high mortality and a high rate of adverse outcomes. Admission GCS score, drowning duration, and total prehospital time are core risk factors for predicting mortality, and their combination serves as an effective indicator for early risk stratification.

Indexed as

DrowningAdolescentChildChild, PreschoolFemaleGlasgow Coma ScaleHumansInfantLogistic ModelsMaleRetrospective StudiesRisk FactorsROC CurveChildDrowningPediatric intensive care unitPrognosisRisk factor

Identifiers

PMID41914415
PMCPMC13037239

What Socratic holds

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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 Socratic graph.