Evidence map›Paper›PMID 41376957›Full record

ArticleJournal of thoracic disease2025

Comparison of metagenomic next-generation sequencing (mNGS) technology with routine laboratory culture for bacterial and fungal detection in bronchoalveolar lavage fluid.

Yang Liu, Nan Deng, Yuting Lu, Jiayi Peng, Siqi Yuan

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Yang LiuDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Nan DengDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuting LuDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiayi PengDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Siqi YuanDepartment of Clinical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary infections continue to threaten human health. Metagenomic next-generation sequencing (mNGS) technology provides a rapid detection method for identifying the pathogens responsible for pulmonary infections, with many advantages compared to traditional culture method. Our objective is to collect and analyze testing data from patients with pulmonary infections at the Department of Respiratory Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, in order to compare the detection rates of mNGS and traditional culture method. Methods: This study conducted a retrospective analysis of bronchoalveolar lavage fluid (BALF) samples from 50 patients with pulmonary infections at the Department of respiratory medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, comparing the differences between mNGS and the traditional "gold standard" culture method. Results: The detection rate of mNGS for fungi or bacteria was 72.0% (36/50), while that of culture method was 12.0% (6/50). According to the McNemar χ Conclusions: mNGS, as a new diagnostic testing technology, has significant advantages in identifying bacteria, fungi, and virus. The combination of mNGS analysis of BALF and traditional pathogen culture method can improve the efficiency of pathogen detection and facilitate the diagnosis of patients with pulmonary infections, allowing patients to receive targeted treatment as soon as possible.

Indexed as

culture methodMetagenomic next-generation sequencing (mNGS)pulmonary infections

Identifiers

PMID41376957
PMCPMC12688481

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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.