Evidence map›Paper›PMID 41078367›Full record

ArticleFrontiers in cellular and infection microbiology2025

Precise pathogen detection and clinical characterization of bronchiectasis.

Qinghua Gao, Jiahao Xu, Yue Ma, Siji Zhou, Lei Zhang, Liping Chen, Yongning Yi, Ting Hou, Qiaoli Zhang, Jian He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. 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

10 authors.

Qinghua Gao *Department of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Jiahao Xu *Yunnan Taite Biotech, Kunming, China.
Yue MaDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Siji ZhouDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Lei ZhangDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Liping ChenDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Yongning YiDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Ting HouDepartment of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Qiaoli Zhang *Department of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.
Jian He *Department of Pulmonary and Critical Care Medicine, The Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to evaluate the utility of molecular diagnostic techniques in identifying pathogens in bronchiectasis and to investigate the differences in clinical characteristics and pathogen distribution among patients with different microbial infections. Methods: This retrospective study collected and analyzed clinical data and lower respiratory tract pathogen detection results from 410 patients with bronchiectasis admitted to the Anning First People's Hospital Affiliated to Kunming University of Science and Technology, between August 2020 and August 2024. By comparing molecular diagnostic methods with conventional culture, we assessed differences in pathogen detection rates and spectrum, evaluated the diagnostic performance of molecular techniques relative to traditional methodologies, and analyzed the clinical characteristics of bronchiectasis patients with different microbiological etiologies. Results: Compared with conventional microbiological testing (CMT), molecular diagnostics demonstrated significantly higher sensitivity, positive predictive value, and negative predictive value. The most frequently detected bacteria were Conclusion: The application of molecular diagnostic technology has significantly improved the detection rate of pathogens in patients with bronchiectasis, especially for fastidious bacteria and rare pathogens. This method can provide a more comprehensive understanding of the distribution of microorganisms and disease characteristics, shorten the diagnosis cycle, accurately guide anti-infection treatment decisions and assist in prognosis assessment.

Indexed as

BacteriaBronchiectasisMolecular Diagnostic TechniquesAdultAgedAged, 80 and overFemaleHaemophilus influenzaeHumansMaleMiddle AgedPseudomonas aeruginosaRetrospective StudiesSensitivity and Specificitybronchiectasisclinical characteristicsHaemophilus influenzaemolecular diagnosticPseudomonas aeruginosa

Identifiers

PMID41078367
PMCPMC12511037

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