Evidence map›Paper›PMID 41574342›Full record

ArticleFrontiers in microbiology2025

The application value and limitations of metagenomic detection technology based on cerebrospinal fluid samples in suspected central nervous system infection: a retrospective study.

Qiujuan Feng, Baoyi Liu, Huazhao Liu, Yaqin Fan, Shanshan Gao, Jia Zhang, Yingjie Kuang, Wenshan Wang, Huiqiang Liang, Yulan Qiu and 9 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

19 authors.

Qiujuan Feng *Department of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Baoyi Liu *Clinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Huazhao Liu *Department of Neurology, Jiangmen Central Hospital, Jiangmen, China.
Yaqin FanDepartment of Critical Care Medicine, Jiangmen Central Hospital, Jiangmen, China.
Shanshan GaoDepartment of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Jia ZhangDepartment of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Yingjie KuangDepartment of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Wenshan WangDepartment of Hematology, Jiangmen Central Hospital, Jiangmen, China.
Huiqiang LiangDepartment of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Yulan QiuClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Huamei WenClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Zize FengDepartment of Neurosurgery, Digital Neurosurgery Operations Center, Jiangmen Central Hospital, Jiangmen, China.
Yanming HuangClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Wanli ZuoClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Xin ZhangClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Jincheng ZengDongguan Key Laboratory of Medical Bioactive Molecular Developmental and Translational Research, Guangdong Provincial Key Laboratory of Medical Immunology and Molecular Diagnostics, Guangdong Medical University, Dongguan, China.
Jinhua WuDepartment of Clinical Laboratory, Jiangmen Central Hospital, Jiangmen, China.
Yuanhao LiangClinical Experimental Center, Jiangmen Engineering Technology Research Center of Clinical Biobank and Translational Research, Jiangmen Key Laboratory of Precision and Clinical Translation Medicine, Jiangmen Central Hospital, Jiangmen, China.
Jiyong GuDepartment of Neurosurgery, Digital Neurosurgery Operations Center, Jiangmen Central Hospital, Jiangmen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurately diagnosing central nervous system (CNS) infections remains challenging. This study aimed to evaluate the effectiveness of metagenomic next-generation sequencing (mNGS) in diagnosing suspected CNS infections and its role in facilitating rapid and accurate pathogen identification. Methods: This retrospective study enrolled cerebrospinal fluid specimens from 246 patients with suspected CNS infections and 20 controls with definitively ruled-out infections. Using clinical diagnoses established by an expert panel based on comprehensive criteria as the reference standard, we evaluated the diagnostic performance of mNGS relative to culture and conventional tests. Additionally, we analyzed the therapeutic guidance value of positive mNGS results and risk factors for false negatives. Results: mNGS showed 73.2% (180/246) agreement with clinical diagnosis, superior to culture (54.1%, 133/246) and conventional methods (61.4%, 151/246). For general bacteria and fungi, mNGS showed 61.9% (26/42) concordance with culture. False negatives in mNGS predominantly involved viral missed detection. Age, presence of systemic infection, headache, and cerebrospinal fluid glucose levels were likely key determinants of mNGS performance. mNGS detection of Epstein-Barr virus, Streptococcus spp., Conclusion: mNGS holds significant value for the diagnosis, therapeutic management, and prognostic assessment of suspected CNS infections.

Indexed as

central nervous system infectionscerebrospinal fluidconventional testingculturemetagenomics next generation sequencing

Identifiers

PMID41574342
PMCPMC12819739

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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.