Evidence map›Paper›PMID 39717545›Full record

ArticleFrontiers in cellular and infection microbiology2024

The value of metagenomic next-generation sequencing with blood samples for the diagnosis of disseminated tuberculosis.

Jing Ma, Yongfang Jiang, Yan He, Huaying Zhou

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. 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. Article
  2. Hematogenous Disseminated Pulmonary Tuberculosis in an Elderly Patient with Acute Myeloid Leukemia.Mediterranean journal of hematology and infectious diseases · 2026
    Article
  3. Review
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

4 authors.

Jing MaDepartment of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yongfang JiangDepartment of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan HeDepartment of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huaying ZhouDepartment of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to assess the clinical value of metagenomic next-generation sequencing (mNGS) of blood samples for the identification of disseminated tuberculosis (DTB). Methods: A total of 48 individuals suspected of DTB were enrolled. All patients underwent mNGS of peripheral blood and conventional microbiological tests. Patient characteristics were collected from their medical records. Results: A total of 28 patients were diagnosed with DTB, whereas 20 patients were confirmed as non-DTB cases. In the DTB groups, 19 (67.9%) contained TB sequences, with specific reads of TB ranging from 1 to 219. The TB sequence was more detectable by mNGS in male patients, those with elevated PCT levels, those who are HIV positive, and those with a decreased CD4 T-cell count. The HIV-positive group shows higher TB mNGS reads ( Conclusion: Our research has shown that the mNGS of blood samples has excellent sensitivity for the diagnosis of DTB. The TB sequence was more detectable by mNGS in patients with elevated PCT levels, those who are HIV positive, and those with a decreased CD4 T-cell count.

Indexed as

High-Throughput Nucleotide SequencingHIV InfectionsMetagenomicsMycobacterium tuberculosisSensitivity and SpecificityTuberculosisAdultAgedCD4 Lymphocyte CountFemaleHumansMaleMiddle AgedYoung Adultclinical diagnosisdiagnosis performancedisseminated tuberculosismetagenomic next-generation sequencingperipheral blood

Identifiers

PMID39717545
PMCPMC11663735

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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.