Evidence map›Paper›PMID 39958934›Full record

ArticleFrontiers in cellular and infection microbiology2025

Targeted next-generation sequencing for antimicrobial resistance detection in ventilator-associated pneumonia.

Yuting Li, Yanfang Jiang, Hao Liu, Yao Fu, Junying Lu, Hongyan Li, Lulu Sheng, Dejian Gu, Dong Zhang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

9 authors.

Yuting Li *Department of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
Yanfang Jiang *Genetic Diagnosis Center, The First Hospital of Jilin University, Changchun, China.
Hao LiuDepartment of Medicine, GenePlus-Beijing, Beijing, China.
Yao FuDepartment of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
Junying LuDepartment of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
Hongyan LiDepartment of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
Lulu ShengDepartment of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.
Dejian GuDepartment of Medicine, GenePlus-Beijing, Beijing, China.
Dong ZhangDepartment of Critical Care Medicine, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ventilator-associated pneumonia (VAP) carries a high mortality rate in the intensive care units (ICUs) due to its widespread drug resistance. Traditional microbial cultures limited by speed and sensitivity, are often unable to help clinicians make effective diagnosis and treatment. Therefore, there is an urgent need for a rapid and accurate test that can identify both pathogens and their antimicrobial resistance (AMR) to improve the prognosis of patients with VAP. Study design: We analyzed samples from ICU patients with suspected VAP using both microbial tests and targeted next-generation sequencing (tNGS), comparing the results of tNGS pathogen and AMR detection against microbial culture and antimicrobial susceptibility testing (AST). Results: Involving 199 patients with suspected VAP, tNGS showed a sensitivity rate of 98.98% for pathogen identification. While the sensitivity rate of microbial culture was just 66.84%. Additionally, tNGS performed almost half the turnaround time of microbial culture (1.66 days vs 3.00 days). For AMR, the overall consistency between AST and tNGS was 79.31%. The great performance particularly exhibited for Conclusion: tNGS excels in identifying pathogens and AMR. Its rapid workflow makes it ideal for managing critically ill patients, enhancing treatment precision, and reducing antibiotic misuse.

Indexed as

BacteriaDrug Resistance, BacterialHigh-Throughput Nucleotide SequencingPneumonia, Ventilator-AssociatedAcinetobacter baumanniiAgedAnti-Bacterial AgentsFemaleHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsMiddle AgedSensitivity and SpecificityAnti-Bacterial Agentsantimicrobial resistanceintensive care unitpathogentargeted next-generation sequencingventilator-associated pneumonia

Identifiers

PMID39958934
PMCPMC11825505

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.