Evidence map›Paper›PMID 40489326›Full record

ArticleAnnals of medicine2025

Changes of respiratory microbiota associated with prognosis in pulmonary infection patients with invasive mechanical ventilation-supported respiratory failure.

Yong Sun, Kai Guo, Jing Tang, Junjie Zhao, Xiaojing Zhang, Youqin Yan, Lingmin Yuan, Yi Zhang, Canhu Qiu, Jian Luo and 3 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Yong SunZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Kai GuoZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jing TangZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Junjie ZhaoZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xiaojing ZhangWillingMed Technology Beijing Co., Ltd, Beijing, China.
Youqin YanDepartment of Critical Care Medicine, People's Hospital of Changshan County, Quzhou, Zhejiang, China.
Lingmin YuanDepartment of Critical Care Medicine, Longyou County People's Hospital, Quzhou, Zhejiang, China.
Yi ZhangDepartment of Critical Care Medicine, QuZhou KeCheng People's Hospital, Quzhou, Zhejiang, China.
Canhu QiuDepartment of Critical Care Medicine, Jiangshan People's Hospital, Quzhou, Zhejiang, China.
Jian LuoDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Weiwen ZhangDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Honglong FangDepartment of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Juan ChenDepartment of Clinical Laboratory, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRespiratory failure (RF) is an important cause of intensive care unit (ICU) admission and mortality due to respiratory diseases. This study aimed to evaluate the clinical performance of metagenomic next-generation sequencing (mNGS) testing in pathogen diagnosis, medication guidance and to explore dynamic changes in the respiratory microbiota associated with prognosis.

methodsThis multicenter retrospective study enrolled ICU patients from five hospitals who underwent invasive mechanical ventilation (IMV) and had pathogenic microorganisms identified by both mNGS and conventional microbiological tests (CMT) from December 2021 to April 2024. Patients were classified into two groups based on discharge outcomes: survivors (

resultsCompared with the survivors, non-survivors had a significantly higher proportion of smokers, dyspnea, type I RF, blood urea nitrogen, and C-reactive protein (

conclusionsmNGS is a promising method for identifying pathogens in pulmonary infections in IMV-supported RF patients and for exploring changes in lung microbial composition to provide a reference for patient prognosis.

Indexed as

MicrobiotaRespiration, ArtificialRespiratory InsufficiencyRespiratory Tract InfectionsAgedAnti-Bacterial AgentsFemaleHigh-Throughput Nucleotide SequencingHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsAnti-Bacterial AgentsInvasive mechanical ventilationlung microbialmetagenomic next-generation sequencingpulmonary infectionrespiratory failure

Identifiers

PMID40489326
PMCPMC12150602

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