Evidence map›Paper›PMID 42182028›Full record

ArticleFrontiers in microbiology2026

Comparative study of targeted next-generation sequencing and traditional pathogen detection methods in lower respiratory tract infections: impact on patient outcomes.

Zhengyuan An, Xiaoping Guo, Xu Lu, Haoming Tian, Shengfang Zhang, Zhirong Mao, Shirong Fan, Xu Zhang, Pingping Tao, Zijuan Li and 2 more

Abstract read
In one paragraph

Article in Frontiers in 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.

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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

12 authors.

Zhengyuan An *Department of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Xiaoping Guo *Department of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Xu Lu *Department of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Haoming TianDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Shengfang ZhangDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Zhirong MaoDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Shirong FanDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Xu ZhangDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Pingping TaoDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Zijuan LiDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Jun SuDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.
Zuyi ChenDepartment of Medical Laboratory, People's Hospital of Dejang, Tongren, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lower respiratory tract infections (LRTIs) are major health problem worldwide. Accurate pathogen identification using conventional microbiological tests (CMTs) is challenging. Targeted next-generation sequencing (tNGS) is a promising diagnostic approach; however, its performance compared with that of CMTs, and its impact on patient outcomes require further investigation. Methods: This retrospective study enrolled 562 patients with suspected lower respiratory infections from 29 departments during 2023-2025. Bronchoalveolar lavage fluid samples from all patients underwent parallel testing with both tNGS and CMTs. The primary outcomes were pathogen detection rates (tNGS vs. CMTs), turnaround time, and clinical outcomes. Secondary outcomes comprised antibiotic modification rates, length of hospital stay, 28-day mortality, and intensive care unit admission rates. Multivariable logistic regression and propensity score adjustment were used to assess the independent impact of tNGS-guided therapy on patient outcomes. Results: The pathogen detection rate was significantly higher with tNGS than with CMTs (89.5% vs. 62.1%, Conclusion: tNGS is more sensitive than CMTs at detecting all categories of pathogens and when results are used to guide clinical management, tNGS is associated with improved clinical outcomes including reduced mortality and shorter hospital stays.

Indexed as

comparative effectivenesspathogen detectionpatient outcomesrespiratory tract infectionstargeted next-generation sequencing

Identifiers

PMID42182028
PMCPMC13194471

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.