Evidence map›Paper›PMID 41158352›Full record

ArticleJournal of thoracic disease2025

Use of metagenomic next-generation sequencing for accurate diagnosis of tuberculous pleurisy: a retrospective cohort study.

Jing Liu, Huiwen Qian, Jianqiang Jin, Mingzhan Du, Changguo Wang, Jie Yu, Pei Pang, Meili Shen, Zhoufang Mei, Yaxian Shi and 8 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

18 authors.

Jing Liu *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Huiwen Qian *Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jianqiang JinDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mingzhan DuDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Changguo WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jie YuDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Pei PangDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Meili ShenMedical Department, Nanjing Dinfectome Technology Inc., Nanjing, China.
Zhoufang MeiDepartment of Pulmonary and Critical Care Medicine, Shanghai Fifth People's Hospital Affiliated to Fudan University, Shanghai, China.
Yaxian ShiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ziyan WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Guogang JiangDepartment of Respiratory and Critical Care Medicine, The Third People's Hospital of Kunshan, Suzhou, China.
Lingchuan GuoDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Chongke ZhongDepartment of Epidemiology, School of Public Health, Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China.
Peijun TangDepartment of Tuberculosis, The Affiliated Infectious Diseases Hospital of Soochow University, The Fifth People's Hospital of Suzhou, Suzhou, China.
Yuting WangDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Cuilin ShiDepartment of Pulmonary, The Affiliated Infectious Diseases Hospital of Soochow University, The Fifth People's Hospital of Suzhou, Suzhou, China.
Cheng JiDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculous pleurisy (TP) presents persistent diagnostic challenges owing to the suboptimal sensitivity of conventional microbiological assays. This study aimed to evaluate the diagnostic performance of metagenomic next-generation sequencing (mNGS) in diagnosing TP using formalin-fixed paraffin-embedded (FFPE) pleural biopsy tissues. Methods: This retrospective study evaluated the diagnostic efficacy of mNGS in FFPE pleural samples of suspected TP patients at The First Affiliated Hospital of Soochow University between April 1, 2018 and February 1, 2023. Those patients with inadequate pleural specimens for mNGS analysis were excluded. Diagnosis of TP was established according to the WS 288-2017 Health Industry Standard of the People's Republic of China. Results: A total of 73 patients were enrolled in this study and divided into the TP group and non-tuberculous pleurisy (NTP) group. The TP group comprised 51 patients with a median age of 52 years, including 33 (64.7%) males. The NTP group consisted of 22 patients with a median age of 64 years, including 13 (59.1%) males. Our results showed that mNGS assay on FFPE in pleural biopsies had a sensitivity of 78.43% [95% confidence interval (CI): 0.667-0.901] and a specificity of 100% (95% CI: 1.000-1.000) in diagnosing TP. In the 51 TP cases, mNGS detected Conclusions: mNGS of FFPE of pleural biopsy tissues not only improves the diagnostic efficiency of TP, but also potential accurately distinguishes between MTBC and NTM, providing molecular and microbial basis for the diagnosis of TP, which is helpful for the rapid diagnosis and precise treatment of TP.

Indexed as

metagenomic next-generation sequencing (mNGS)Mycobacterium tuberculosis complex (MTBC)non-tuberculous mycobacteria (NTM)Tuberculous pleurisy (TP)

Identifiers

PMID41158352
PMCPMC12557698

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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.