Evidence map›Paper›PMID 41376791›Full record

ArticleFrontiers in cellular and infection microbiology2025

Diagnostic utility of metagenomic next-generation sequencing for tissue in patients with suspected infectious diseases.

Yaqing Liu, Yuting Tan, Fei Xia, Songjie Wu, Shi Zou, Qianhui Chen, Jie Liu, Shihui Song, Qian Du, Wei Guo and 1 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Yaqing Liu *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yuting Tan *Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fei Xia *Department of Pharmacy, Hubei No.3 People's Hospital of Jianghan University, Wuhan, China.
Songjie WuDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Shi ZouDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qianhui ChenDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jie LiuDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Shihui SongDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qian DuDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wei GuoDepartment of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Ke LiangDepartment of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomic next-generation sequencing (mNGS) was suggested to potentially replace traditional microbiological methods because of its comprehensiveness. However, the diagnostic utility of mNGS for tissue hasn't been fully explored, especially for patient with HIV infection. HIV-positive and negative patients with suspected infectious diseases who performed tissue mNGS and conventional microbiological tests (CMTs) were retrospectively enrolled between October, 2020 and May 2024. The microbial spectrum of tissue mNGS and CMTs was analyzed, and the diagnostic accuracy and consistency of mNGS and CMTs for tissue were compared. The related factors of positive rate of mNGS was analyzed. Of 70 patients with suspected infectious diseases, 44 cases were confirmed with the infectious diseases. Among 44 patients with infectious diseases, aerobic bacteria (36.4%) was the most common detected pathogen, followed by mycobacterium tuberculosis (MTB, 18.2%), non-tuberculous mycobacteria (NTM, 13.6%) and fungus (11.4%). The sensitivity of tissue mNGS (72.7%, 95%CI 56.9%-84.5%) was significantly higher than that that in tissue CMTs (29.5%, 95%CI 17.2%-45.4%) (p<0.001), but the specificity was not statistically significant(P = 0.656). mNGS demonstrated higher detection rates than CMTs in the case with single microbial infections (70.0% vs. 30.0%; p<0.01). For the case with multiple microbial infections, the detection rates of mNGS and CMTs was 100.0% and 25.5% (p=1.000), respectively. Both positive mNGS and CMTs were observed in 22.7% patients with infectious diseases, and sole positive mNGS and sole positive CMTs were observed in 50.0% and 6.8% patients, respectively. There were no statistically differences in age, gender, HIV infection, PCT levels, neutrophil counts, CD4

Indexed as

Communicable DiseasesHigh-Throughput Nucleotide SequencingMetagenomicsAdultAgedBacteriaFemaleHIV InfectionsHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityYoung Adultconsistencyconventionalmetagenomicmicrobiological testsnext-generationsensitivitysequencingtissue

Identifiers

PMID41376791
PMCPMC12685875

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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.