Evidence map›Paper›PMID 40519734›Full record

ArticleTranslational pediatrics2025

Central line-associated bloodstream infections in children: a systematic review and meta-analysis.

Lixiang Li, Yingshan Zheng, Weiying Deng, Xiuyun Chen, Sihuan Lin

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Article in Translational pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Observational
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4 · The record

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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.

Lixiang Li *Catheterization Center, Foshan First People's Hospital, Foshan, China.
Yingshan Zheng *General Family Medicine, Foshan First People's Hospital, Foshan, China.
Weiying DengDepartment of Oncology, Foshan First People's Hospital, Foshan, China.
Xiuyun ChenDepartment of Oncology, Foshan First People's Hospital, Foshan, China.
Sihuan LinSpecial Need Clinic, Foshan First People's Hospital, Foshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Central line-associated bloodstream infection (CLABSI) in pediatric patients poses significant clinical challenges, with prevention strategies heavily reliant on identifying modifiable risk factors. Despite numerous studies investigating these risk factors, heterogeneity in study designs, populations, and regional settings necessitates a systematic synthesis of evidence to guide clinical practice. This meta-analysis aims to consolidate existing data and quantify key risk factors for pediatric CLABSI. Methods: A comprehensive search of PubMed, Embase, Cochrane Library, and Web of Science was conducted for observational studies (cohort and case-control) published up to April 1, 2024. Two independent reviewers screened studies, extracted data, and assessed quality using the MOOSE checklist for observational meta-analyses. Meta-analyses were performed using Stata 15.0 software, with pooled odds ratios (ORs) and 95% confidence intervals (CIs) calculated via random-effects models. Heterogeneity was evaluated with I Results: Seventeen studies (17 cohort studies) involving 15,221 pediatric patients were included. Significant risk factors for CLABSI were: blood transfusions (OR =5.69; 95% CI: 2.93-11.05), congenital diseases (OR =2.58; 95% CI: 1.14-5.83), central nervous system (CNS) diseases (OR =4.13; 95% CI: 1.17-9.98), total parenteral nutrition (OR =4.37; 95% CI: 1.14-16.82), multiple catheters (OR =4.16; 95% CI: 2.36-7.31), prolonged catheterization time (OR =1.19; 95% CI: 1.08-1.30). Subgroup analyses confirmed consistency across regions and study types (I Conclusions: This meta-analysis identifies blood transfusions, congenital/CNS comorbidities, parenteral nutrition, and catheter-related practices as critical modifiable risk factors for pediatric CLABSI. Clinicians should prioritize early catheter removal, judicious blood product use, and intensified monitoring for high-risk patients. These findings align with existing guidelines but provide stronger evidence for pediatric-specific protocols.

Indexed as

bloodstream infectionCentral venous catheter (CVC)childrenmeta-analysisrisk factors

Identifiers

PMID40519734
PMCPMC12163823

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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.