Evidence map›Paper›PMID 40308966›Full record

ArticleFrontiers in cellular and infection microbiology2025

The application prospect of metagenomic next-generation sequencing technology in diagnosing suspected lower respiratory tract infections.

Wei Li, Mingming Zhao, Weiwei Wu, Gang Chen, Yanping Hang, Haixia Zheng, Zhenyun Gao, Jia Liu, Yuguo Zhao

Erratum issuedAbstract 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. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Nucleic Acid Amplification Tests forPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wei Li *Department of Respiratory Medicine, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, Jiangsu, China.
Mingming Zhao *Department of Pulmonary and Critical Care Medicine, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.
Weiwei WuDinfectome Inc., Nanjing, Jiangsu, China.
Gang ChenDepartment of Pulmonary and Critical Care Medicine, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.
Yanping HangDepartment of Pulmonary and Critical Care Medicine, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.
Haixia ZhengDepartment of Pulmonary and Critical Care Medicine, Nanjing Gaochun People's Hospital, Nanjing, Jiangsu, China.
Zhenyun GaoDepartment of Respiratory Medicine, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, Jiangsu, China.
Jia Liu *Dinfectome Inc., Nanjing, Jiangsu, China.
Yuguo Zhao *Department of Respiratory Medicine, Nanjing Lishui People's Hospital, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Lower respiratory tract infections present substantial diagnostic and therapeutic challenges, negatively impacting individual health. This study aims to utilize metagenomic next-generation sequencing (mNGS) technology to comprehensively explore the spectrum of pathogens, the detection of antibiotic resistance genes, and contributing factors associated with lung infections. Method: The mNGS data of 217 patients with suspected lung infections attending the Respiratory Department of Nanjing Lishui People's Hospital and Gaochun People's Hospital from September 2022 to September 2023 were retrospectively analyzed. The study assessed the pathogenic spectrum of lung infections and compared the performance of patients with mNGS results from conventional microbiological techniques (CMT). Results: The overall positivity rate of mNGS was 95.20%, demonstrating superior sensitivity (97.01% vs. 41.79%) and accuracy (75.56% vs. 56.67%) compared to CMT. Bacterial infections were the most prevalent, accounting for 60.76% of cases. And the most prevalent bacteria, fungus and virus were Conclusion: With the guidance of mNGS, patients with suspected respiratory tract infections can rapidly and accurately establish a pathogenic basis for their conditions. mNGS effectively identify mixed infections, enrich the pathogen spectrum of lung infections, and provide a large and reliable information base for the clinical realization of targeted medication.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsRespiratory Tract InfectionsAdultAgedAged, 80 and overBacteriaBacterial InfectionsChinaFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityVirusesCOPDmetagenomic next-generation sequencingpathogen spectrumresistance genessuspected lower respiratory tract infection

Identifiers

PMID40308966
PMCPMC12041802

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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.