Evidence map›Paper›PMID 36247251›Full record

ArticleAmerican journal of translational research2022

Metagenomic next-generation sequencing for the detection of pathogenic microorganisms in patients with pulmonary infection.

Peng Wei, Lijuan Wu, Yu Li, Jian'gang Shi, Yifeng Luo, Wenbin Wu, Jiemei Feng

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Metagenomic Next-Generation Sequencing RevealsInfection and drug resistance · 2025
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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

7 authors at 2 institutions in 1 country.

Peng WeiDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Lijuan WuDepartment of Ultrasound, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Yu LiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University Nanning 530007, Guangxi Zhuang Autonomous Region, China.
Jian'gang ShiDepartment of Clinical Laboratory, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Yifeng LuoDepartment of Intensive Care Unit, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Wenbin WuDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Jiemei FengDepartment of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Guigang City People's Hospital · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical value of metagenomic next-generation sequencing (mNGS) in diagnosing pulmonary infectious diseases.

methodsA retrospective analysis was performed on 82 patients with pulmonary infection who were admitted to the Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital from January 2020 to December 2021. The pathogens were detected by mNGS and conventional methods (culture and PCR). Then, the type and number of detected pathogens, as well as the specificity and sensitivity, were compared between the two methods. In addition, the positive rates of bacteria, fungi, tubercle bacillus, and mixed infection in bronchoalveolar lavage fluid, sputum, pleural effusion, and blood detected by mNGS, and the advantage in required test time were evaluated.

resultsMore types and numbers of pathogens were detected by mNGS with a higher sensitivity but a lower specificity, as compared to the conventional detection methods (all P<0.05). The positive rates and integrity rates of bacteria, fungi, and tubercle bacillus detected by mNGS were higher than those by conventional methods (all P<0.05). Moreover, there was no difference in the overall sensitivity of mNGS among different sample types, but the sensitivities of mNGS in bronchoalveolar lavage fluid and sputum samples were significantly higher than those of conventional methods (both P<0.05). The average test time for mNGS was shorter than that of conventional methods.

conclusionmNGS can detect more types and numbers of pathogenic microorganisms, improve the detection sensitivity, and reduce the detection time in patients with pulmonary infection.

Indexed as

alveolar washdiagnostic efficiencyMetagenomic next-generation sequencing (mNGS)pathogenpulmonary infection

Identifiers

PMID36247251
PMCPMC9556471
OpenAlexW4306669925

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.