Evidence map›Paper›PMID 41251467›Full record

ArticleMicrobiology spectrum2026

Targeted next-generation sequencing of bronchoalveolar lavage fluid for pathogen detection in connective tissue disease-related pulmonary infections.

Xiaoyan Zhong, Yuheng Xing, Yuexi Zhang, Zhiheng Luo, Wu Xu, Xu Chen, Meng Liu, Guanqun Yi, Yukai Huang, Shaoling Zheng and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 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

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

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

14 authors.

Xiaoyan Zhong *Department of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Yuheng Xing *Department of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Yuexi Zhang *Department of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Zhiheng LuoDepartment of Information Technology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Wu XuDepartment of Information Technology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Xu ChenDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Meng LiuDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Guanqun YiDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Yukai HuangDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Shaoling ZhengDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Weiming DengDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Xuechan HuangDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.
Tianwang LiDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.ORCID 0000-0001-6438-2691
Zhengping HuangDepartment of Rheumatology and Immunology, The Affiliated Guangdong Second Provincial General Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-2955-7385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study aims to assess the clinical value of targeted next-generation sequencing of bronchoalveolar lavage fluid (BALF-tNGS) in pulmonary infection associated with connective tissue diseases (CTDs) and characterize the infection profiles in these patients. CTD patients undergoing bronchoscopy with BALF-tNGS between January 2022 to July 2025 were enrolled. tNGS results were compared with conventional microbiological tests (CMTs). Logistic regression identified risk factors for monomicrobial infection and polymicrobial infection. Among 124 CTD patients enrolled, 45 (36.3%) were male with the mean age of 52.6 ± 15.4 years, and the mean disease duration was 4.1 ± 6.1 years. CMTs detected pathogens in 43 patients, yielding 55 isolates: 23 bacteria, 13 viruses, 12 fungi, and 9

Indexed as

Bronchoalveolar Lavage FluidConnective Tissue DiseasesHigh-Throughput Nucleotide SequencingLung DiseasesRespiratory Tract InfectionsAdultAgedCoinfectionFemaleHumansMaleMiddle AgedRetrospective Studiesbronchoalveolar lavage fluidconnective tissue diseaselupuspulmonary infectionstargeted next-generation sequencing

Identifiers

PMID41251467
PMCPMC12772244

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Registered trials

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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.