Evidence map›Paper›PMID 39898354›Full record

ArticleInfection and drug resistance2025

Application of Targeted Next-Generation Sequencing in Bronchoalveolar Lavage Fluid for the Detection of Pathogens in Pulmonary Infections.

Xianning Dai, Kai Xu, Yu Tong, Jing Li, Liya Dai, Jianyou Shi, Haibin Xie, Xi Chen

Abstract read
In one paragraph

Article in Infection and drug resistance, 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
  2. Review
  3. Article
  4. Article
  5. Article
  6. Pneumonia with BALF Detection ofInfection and drug resistance · 2026
    Article
  7. Article
  8. Article
  9. An Atypical Pneumonia Case of Quinolone-RefractoryInfection and drug resistance · 2025
    Article
  10. 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

8 authors.

Xianning DaiDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Kai XuDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Yu TongDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Jing LiDepartment of PCCM, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Liya DaiDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Jianyou ShiDepartment of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, Zhejiang, People's Republic of China.
Haibin XieDepartment of Immunization Planning, Prevention and Health Care, Centers for Disease Control of Luchen, Zhejiang, People's Republic of China.
Xi ChenDepartment of Immunization Planning, Prevention and Health Care, Centers for Disease Control of Luchen, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to evaluate the utility of targeted next-generation sequencing (tNGS) in bronchoalveolar lavage fluid (BALF) for hospitalized patients with pulmonary infections. Methods: A cohort of 358 patients who received diagnosis and treatment for respiratory infections in the department of Respiratory Medicine at Wenzhou People's hospital from January 2023 to April 2024 were selected for this study. The BALF of the patients was analyzed using tNGS, and the diagnostic efficacy of tNGS was subsequently compared with that of conventional testing methods (CTs) for pathogen detection. Results: Through the analysis of tNGS from the cohort, the pathogen detection rate in BALF using tNGS was significantly higher than that of CTs (90.22% VS 57.26%, Conclusion: Compared to CTs, the application of tNGS enables the identification of a greater diversity of organisms and exhibits superior accuracy, effectively identifying pathogens that are undetectable by CTs, especially fastidious and atypical organisms. Consequently, it holds immense potential in pathogen diagnosis and offers valuable clinical guidance for patients with pulmonary infections.

Indexed as

antimicrobial resistantbronchoalveolar lavage fluidculturepathogenpneumoniatargeted next-generation sequencing

Identifiers

PMID39898354
PMCPMC11784358

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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.