Evidence map›Paper›PMID 36988865›Full record

ArticleInfectious diseases and therapy2023

Utilizing Metagenomic Next-Generation Sequencing (mNGS) for Rapid Pathogen Identification and to Inform Clinical Decision-Making: Results from a Large Real-World Cohort.

Jie Xu, Peng Zhou, Jia Liu, Lina Zhao, Hailong Fu, Qingzhen Han, Lin Wang, Weiwei Wu, Qiuxiang Ou, Yutong Ma and 1 more

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  12. Evolving patterns of healthcare-associated infections in NICU: a five-year retrospective analysis from a tertiary children's hospital in China.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
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  18. Metagenomic Next-Generation Sequencing RevealsInfection and drug resistance · 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

11 authors.

Jie Xu *Clinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China.
Peng Zhou *Center of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China.
Jia LiuDinfectome Inc., NanjingJiangsu, 210000, China.
Lina ZhaoDepartment of Laboratory Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
Hailong FuClinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China.
Qingzhen HanCenter of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China.
Lin WangCenter of Translational Medicine and Clinical Laboratory, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, 215028, China.
Weiwei WuDinfectome Inc., NanjingJiangsu, 210000, China.
Qiuxiang OuDinfectome Inc., NanjingJiangsu, 210000, China.
Yutong MaDinfectome Inc., NanjingJiangsu, 210000, China.
Jun HeClinical Laboratory Center, The First Affiliated Hospital of Soochow University, Suzhou, 215031, China. junhe1964@163.com.

Funding

Jiangsu Provincial Key Research and Development Program BE2019656National Natural Science Foundation of China 82070180Suzhou Science and Technology Planning Project SZM2021011
6 · The paper itself

Abstract

introductionClinical metagenomic next-generation sequencing (mNGS) has proven to be a powerful diagnostic tool in pathogen detection. However, its clinical utility has not been thoroughly evaluated.

methodsIn this single-center prospective study at the First Affiliated Hospital of Soochow University, a total of 228 samples from 215 patients suspected of having acute or chronic infections between June 2018 and December 2018 were studied. Samples that met the mNGS quality control (QC) criteria (N = 201) were simultaneously analyzed using conventional tests (CTs), including multiple clinical microbiological tests and real-time PCR (if applicable).

resultsPathogen detection results of mNGS in the 201 QC-passed samples were compared to CTs and exhibited a sensitivity of 98.8%, specificity of 38.5%, and accuracy of 87.1%. Specifically, 109 out of 160 (68.1%) CT+/mNGS+ samples exhibited concordant results at the species/genus level, 25 samples (15.6%) showed overlapping results, while the remaining 26 samples (16.3%) had discordant results between the CT and mNGS assays. In addition, mNGS could identify pathogens at the species level, whereas only the genera of some pathogens could be identified by CT. In this cohort, mNGS results were used to guide treatment plans in 24 out of 41 cases that had available follow-up information, and the symptoms were improved in over 70% (17/24) of them.

conclusionOur data demonstrated the analytic performance of our mNGS pipeline for pathogen detection using a large clinical cohort and strongly supports the notion that in clinical practice, mNGS represents a valuable supplementary tool to CTs to rapidly determine etiological factors of various types of infection and to guide treatment decision-making.

Indexed as

Infectious diseaseMetagenomic next-generation sequencingPathogen detectionTreatment decision-making

Identifiers

PMID36988865
PMCPMC10147866

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Registered trials

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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.