Evidence map›Paper›PMID 42368961›Full record

SynthesisFrontiers in public health2026

Risk factors for nosocomial infections in ECMO patients: a systematic review and meta-analysis.

Jia Duan, Lei Yang, YanFang Huang, Duo Li, Dan Liu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

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.

Jia DuanDepartment of Intensive Care Medicine, Neijiang Hospital of Traditional Chinese Medicine, Neijiang, Sichuan, China.
Lei YangDepartment of Geriatrics, Neijiang First People's Hospital, Neijiang, Sichuan, China.
YanFang HuangDepartment of Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Duo LiDepartment of Pulmonary and Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Dan LiuDepartment of Critical Care Medicine, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nosocomial infection (NSI) is a serious complication in extracorporeal membrane oxygenation (ECMO) patients, yet reported risk factors remain inconsistent. A systematic synthesis is needed to identify key predictors. Methods: Following PRISMA guidelines, this meta-analysis (PROSPERO: CRD420251161290) searched five databases for studies reporting multivariate risk factors for NSI in adult ECMO patients. Study selection, data extraction, and quality assessment (Newcastle-Ottawa Scale) were performed independently by two reviewers. Pooled odds ratios (ORs) were calculated with random-effects models; heterogeneity (I Results: Thirty-four observational studies (≈8,901 patients) were included. Significant risk factors were: immunosuppression (OR 2.21, 95% CI 1.27-3.85), inter-hospital transport (2.24, 1.04-4.80), pre-ECMO infection (2.54, 2.03-3.18), higher SOFA score (per point: 1.13, 1.03-1.24), prolonged ECMO duration (per day: 1.10, 1.07-1.14), continuous renal replacement therapy (2.18, 1.57-3.02), and catheter intubation (1.24, 1.02-1.51). ECMO duration showed high heterogeneity (I Conclusion: NSI in ECMO patients arises from an interplay of baseline characteristics, illness severity, and invasive support duration/intensity. A stratified, risk-factor-based prevention strategy is warranted. Given the predominantly retrospective evidence, prospective studies are required for validation. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251161290, Identifier: CRD420251161290.

Indexed as

Cross InfectionExtracorporeal Membrane OxygenationHumansRisk Factorsextracorporeal membrane oxygenationmeta-analysisnosocomial infectionsrisk factorssystem review

Identifiers

PMID42368961
PMCPMC13294189

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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.