Evidence map›Paper›PMID 38368306›Full record

ArticleInfection2024

Utilizing metagenomic next-generation sequencing for pathogen detection and diagnosis in lower respiratory tract infections in real-world clinical practice.

Tangfeng Lv, Qi Zhao, Jia Liu, Song Wang, Weiwei Wu, Liyun Miao, Ping Zhan, Xiaoli Chen, Manman Huang, Mingxiang Ye and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 15 citations in OpenAlex.

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  18. Case report: co-infection ofAME case reports · 2025
    Article
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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

12 authors at 4 institutions in 1 country.

Tangfeng Lv *Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Qi Zhao *Department of Pulmonary and Critical Care Medicine, Nanjing Drum Tower Hospital, Nanjing, 210008, Jiangsu, China.
Jia Liu *Dinfectome Inc., Nanjing, 210000, Jiangsu, China.
Song WangDinfectome Inc., Nanjing, 210000, Jiangsu, China.
Weiwei WuDinfectome Inc., Nanjing, 210000, Jiangsu, China.
Liyun MiaoDepartment of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, Jiangsu, China.
Ping ZhanDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Xiaoli ChenDepartment of Respiratory and Critical Care Medicine, Jiangsu Provincial Hospital of Integrated Chinese and Western Medicine, 100 Cross Street, Hongshan Road, Nanjing, 210028, Jiangsu, China.
Manman HuangDinfectome Inc., Nanjing, 210000, Jiangsu, China.
Mingxiang YeDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, 210002, Jiangsu, China.
Qiuxiang OuDinfectome Inc., Nanjing, 210000, Jiangsu, China.
Yeqing ZhangDepartment of Respiratory and Critical Care Medicine, Jiangsu Provincial Hospital of Integrated Chinese and Western Medicine, 100 Cross Street, Hongshan Road, Nanjing, 210028, Jiangsu, China. Zhangyeqing_555@163.com.
Nanjing University · CNIntegrated Chinese Medicine (China) · CNNanjing Drum Tower Hospital · CNYancheng Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfectious etiologies of lower respiratory tract infections (LRTIs) by the conventional microbiology tests (CMTs) can be challenging. Metagenomic next-generation sequencing (mNGS) has great potential in clinical use for its comprehensiveness in identifying pathogens, particularly those difficult-to-culture organisms.

methodsWe analyzed a total of 205 clinical samples from 201 patients with suspected LRTIs using mNGS in parallel with CMTs. mNGS results were used to guide treatment adjustments for patients who had negative CMT results. The efficacy of treatment was subsequently evaluated in these patients.

resultsmNGS-detected microorganisms in 91.7% (188/205) of the clinical samples, whereas CMTs demonstrated a lower detection rate, identifying microorganisms in only 37.6% (77/205) of samples. Compared to CMT results, mNGS exhibited a detection sensitivity of 93.5% and 95.4% in all 205 clinical samples and 180 bronchoalveolar lavage fluid (BALF) samples, respectively. A total of 114 patients (114/201; 56.7%) showed negative CMT results, among which 92 received treatment adjustments guided by their positive mNGS results. Notably, 67.4% (62/92) of patients demonstrated effective treatment, while 25% (23/92) experienced a stabilized condition. Subgroup analysis of cancer patients revealed that 41.9% (13/31) exhibited an effective response to treatment, and 35.5% (11/31) maintained a stable condition following medication adjustments guided by mNGS.

conclusionmNGS demonstrated great potential in identifying microorganisms of clinical significance in LRTIs. The rapid turnaround time and reduced susceptibility to the impact of antimicrobial administration make mNGS a valuable supplementary tool for diagnosis and treatment decision-making for suspected LRTIs in clinical practice.

Indexed as

Respiratory Tract InfectionsBronchoalveolar Lavage FluidHigh-Throughput Nucleotide SequencingHumansMetagenomicsSensitivity and SpecificityConventional microbiology testDiagnosisLower respiratory tract infectionMetagenomic next-generation sequencing

Identifiers

PMID38368306
OpenAlexW4391918009

What Socratic 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 Socratic graph.