Evidence map›Paper›PMID 38302964›Full record

ArticleAnnals of clinical microbiology and antimicrobials2024

Diagnostic strategy of metagenomic next-generation sequencing for gram negative bacteria in respiratory infections.

Wenyan Liang, Qun Zhang, Qian Qian, Mingyue Wang, Yuchen Ding, Ji Zhou, Yi Zhu, Yu Jin, Xuesong Chen, Hui Kong and 6 more

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
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  4. Article
  5. Rapid diagnosis ofFrontiers in medicine · 2024
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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

16 authors at 5 institutions in 1 country.

Wenyan LiangDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Qun ZhangDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Qian QianJiangsu Health Vocational College, Nanjing, 211800, China.
Mingyue WangDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yuchen DingDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Ji ZhouDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yi ZhuDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Yu JinDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xuesong ChenDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Hui KongDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Wei SongDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Xin LuDepartment of Respiratory and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.
Xiaodong WuDepartment of Respiratory and Critical Care Medicine, Shanghai East Hospital, Tongji University, Shanghai, China.
Xiaoyong XuDepartment of respiratory and critical care medicine, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, 210000, China.
Shanling DaiDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Wenkui SunDepartment of Respirology and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. sunwenkui@njmu.edu.cn.
Jiangsu Province Hospital · CNJiangsu Vocational College of Medicine · CNNanjing Jiangning Hospital · CNNanjing University of Chinese Medicine · CNShanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to identify the most effective diagnostic method for distinguishing pathogenic and non-pathogenic Gram-negative bacteria (GNB) in suspected pneumonia cases using metagenomic next-generation sequencing (mNGS) on bronchoalveolar lavage fluid (BALF) samples.

methodsThe effectiveness of mNGS was assessed on BALF samples collected from 583 patients, and the results were compared with those from microbiological culture and final clinical diagnosis. Three interpretational approaches were evaluated for diagnostic accuracy.

resultsmNGS outperformed culture significantly. Among the interpretational approaches, Clinical Interpretation (CI) demonstrated the best diagnostic performance with a sensitivity of 87.3%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 98.3%. CI's specificity was significantly higher than Simple Interpretation (SI) at 37.9%. Additionally, CI excluded some microorganisms identified as putative pathogens by SI, including Haemophilus parainfluenzae, Haemophilus parahaemolyticus, and Klebsiella aerogenes.

conclusionProper interpretation of mNGS data is crucial for accurately diagnosing respiratory infections caused by GNB. CI is recommended for this purpose.

Indexed as

Respiratory Tract InfectionsBronchoalveolar Lavage FluidGram-Negative BacteriaHigh-Throughput Nucleotide SequencingHumansMetagenomicsSensitivity and SpecificityDiagnostic accuracyGram-negative bacteriaInterpretational approachesMetagenomic next-generation sequencing

Identifiers

PMID38302964
PMCPMC10835912
OpenAlexW4391450064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.