Evidence map›Paper›PMID 42488424›Full record

ArticleFrontiers in cellular and infection microbiology2026

Clinical diagnostic value of targeted next generation sequencing for lower respiratory tract infection: a retrospective study.

Yueyan Ni, Weiwei Wu, Jia Liu, Chunlai Feng, Bing Jin, Tingting Zhao, Yu Gu, Xin Su, Chong Li, Xin Yuan

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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

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

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

10 authors.

Yueyan Ni *Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, China.
Weiwei Wu *Department of Medicine, Dinfectome Inc., Nanjing, China.
Jia Liu *Department of Medicine, Dinfectome Inc., Nanjing, China.
Chunlai FengDepartment of Respiratory and Critical Care Medicine, The First People's Hospital of Changzhou, Changzhou, China.
Bing JinDepartment of Respiratory and Critical Care Medicine, Changzhou Fourth People's Hospital, Changzhou, China.
Tingting ZhaoDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, China.
Yu GuDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, China.
Xin SuDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, China.
Chong LiDepartment of Respiratory and Critical Care Medicine, The First People's Hospital of Changzhou, Changzhou, China.
Xin YuanDepartment of Respiratory and Critical Care Medicine, Changzhou Third People's Hospital, Changzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Lower respiratory tract infections (LRTIs) progress swiftly and require timely, accurate pathogen detection to enhance patient outcomes. This study aims to utilize the targeted metagenomic next-generation sequencing (tNGS) technology as a novel approach to investigate the types of pathogens involved in infections following different structural lung diseases. Methods: This retrospective cohort study enrolled 329 patients with suspected LRTIs admitted to three medical centers from June 2023 and June 2024. The study analyzed the pathogenic spectrum of lung infections and compared the diagnostic outcomes of tNGS with those of conventional microbiological techniques (CMTs). Results: tNGS demonstrated significantly higher sensitivity (97.8% vs. 28.9%, p<0.05) and accuracy (96.6% vs. 30.3%, p<0.05) than CMTs, along with a high concordance rate (87.8%) with clinically confirmed pathogens. Pathogen profiling revealed that Conclusion: These findings showed that tNGS demonstrates significant promise for the etiological diagnosis and tailored management of LRTIs.

Indexed as

High-Throughput Nucleotide SequencingRespiratory Tract InfectionsAgedBacteriaFemaleFungiHumansMaleMetagenomicsMiddle AgedRetrospective StudiesSensitivity and SpecificityVirusesconventional microbiological techniquesdiagnosislower respiratory tract infectionsstructural lung diseasestargeted next-generation sequencing

Identifiers

PMID42488424
PMCPMC13388218

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.