Evidence map›Paper›PMID 40104588›Full record

ArticleFrontiers in microbiology2025

Characterization of pathogenic bacterial distribution in extracorporeal membrane oxygenation-related nosocomial infections and the prognostic value of early inflammatory biomarkers for infection survival.

Zhiwen Zhao, Pengfei Liang, Lanlan Cai, Li Zhang, Qi Jia, Wentao Tao, Zhicheng Fang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Zhiwen Zhao *Department of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Pengfei Liang *Department of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Lanlan CaiDepartment of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Li ZhangDepartment of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Qi JiaDepartment of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Wentao TaoDepartment of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Zhicheng FangDepartment of Emergency Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Extracorporeal membrane pulmonary oxygenation (ECMO) is the last barrier to save lives and is widely used in the treatment of critical respiratory and circulatory diseases, but infection is one of its common complications. The aim of this study was to analyse the clinical characteristics, survival rates and prognostic factors of patients with ECMO-related nosocomial infections. Methods: This study retrospectively analysed patients treated with ECMO at a tertiary hospital in China between 2017 and 2023. Patient demographic data, ECMO indications, type of pathogen and site of infection, duration of ECMO and tracheal intubation-assisted breathing, and indicators of inflammation at the time of first infection were collected. Patients were divided into surviving and non-surviving groups based on survival, and differences in early inflammatory markers between the two groups were compared. Results: A total of 186 patients were treated with ECMO between 2017 and 2023, of whom 61 (32.7%) developed nosocomial infections and 5 declined to participate in the study. In the surviving group after infection, 21 patients (37.5%) had a mean age of 51 years; in the non-surviving group, 35 patients (62.5%) had a mean age of 54 years. The most common site of infection was the respiratory tract (75%), followed by haematogenous infections; the predominant pathogenic organisms were Conclusion: Respiratory tract infections were the most common during ECMO treatment, and the main pathogen was

Indexed as

extracorporeal membrane pulmonary oxygenationinflammatory markersnosocomial infectionprognosisrescue

Identifiers

PMID40104588
PMCPMC11913870

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