Evidence map›Paper›PMID 42221585›Full record

ArticleFrontiers in cellular and infection microbiology2026

Decoding pulmonary infections through targeted next-generation sequencing: comprehensive pathogen profiling in 999 clinical cases.

Haiqiang Hu, Lu Liu, Shuli Yu, Zhenping Liu, Longying Zhu, Chunyan Qian

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. 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

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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

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

6 authors.

Haiqiang HuThe First People's Hospital of Linping District, Department of Clinical diagnostics laboratory, Hangzhou, Zhejiang, China.
Lu LiuDepartment of Infectious Disease, Melbourne Medical School, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia.
Shuli YuThe First People's Hospital of Linping District, Department of Clinical diagnostics laboratory, Hangzhou, Zhejiang, China.
Zhenping LiuThe First People's Hospital of Linping District, Department of Clinical diagnostics laboratory, Hangzhou, Zhejiang, China.
Longying ZhuThe First People's Hospital of Linping District, Department of Clinical diagnostics laboratory, Hangzhou, Zhejiang, China.
Chunyan QianThe First People's Hospital of Linping District, Department of Clinical diagnostics laboratory, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary infections remain a major global health challenge, yet conventional microbiological methods frequently fail to identify causative pathogens. Targeted next-generation sequencing (tNGS) enables rapid, multiplexed detection of bacterial, viral, fungal, and atypical pathogens within a single assay. However, large-scale clinical data validating its diagnostic and epidemiologic value remain limited. Methods: Pulmonary samples-including sputum, bronchoalveolar lavage fluid (BALF), and throat swabs-were collected from patients with suspected respiratory infections and analyzed using a tNGS assay targeting 153 common pathogens. The diagnostic yield and pathogen spectrum were evaluated, and age-related and clinical-department-specific differences were characterized. Results: A total of 999 patients were included in this real-world study. tNGS identified pathogens in 844 (84.5%) cases, revealing a diverse microbial landscape with significant age- and season-specific heterogeneity. Viral pathogens predominated in children, whereas bacterial pathogens, including Conclusion: tNGS enables comprehensive and rapid detection of respiratory pathogens, uncovering complex infection patterns that are often missed by conventional methods. Its application in pulmonary samples, including sputum and BALF, provides valuable diagnostic insights and supports precision management of respiratory infections.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingMolecular Diagnostic TechniquesRespiratory Tract InfectionsAdolescentAdultAgedAged, 80 and overBronchoalveolar Lavage FluidChildChild, PreschoolCoinfectionFemaleHumansInfantMalemixed infectionpathogen detectionpulmonary infectionrespiratory microbiologytargeted next-generation sequencing

Identifiers

PMID42221585
PMCPMC13219366

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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.