Evidence map›Paper›PMID 41618212›Full record

ArticleBMC infectious diseases2026

Preliminary assessment of the use of targeted next-generation sequencing technology for detecting lymph node tuberculosis using ultrasound-guided core needle biopsy specimens.

Lihong Zhou, Huihuan Zhu, Cong Xu, Xingwu Zou, Boping Wen, Qin Hu

Abstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Lihong ZhouDepartment of Tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China.
Huihuan ZhuHospitalization in Prison Quarters, Shiliping Prison of Zhejiang Province, Huzhen Town, Longyou County, Quzhou City, Zhejiang, China.
Cong XuDepartment of Tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China.
Xingwu ZouDepartment of Tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China.
Boping WenDepartment of Tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China.
Qin HuDepartment of Tuberculosis, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, No. 208 Huancheng East Road, Gongshu District, Hangzhou, Zhejiang, China. QinHu19832023@163.com.

Funding

Hangzhou Municipal Health Committee 2022WJC200
6 · The paper itself

Abstract

purposeThe current study aimed to evaluate the diagnostic utility of targeted next-generation sequencing (tNGS) technology in detecting lymph node tuberculosis (LNTB) using ultrasound-guided puncture core needle biopsy (CNB) samples.

methodsThis study was conducted on patients who underwent ultrasound-guided CNB operation. The samples obtained were used for the tNGS assay, mycobacterial tuberculosis (MTB) culture, Xpert MTB/RIF assay, and pathological examination. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) of these assays were calculated. Then, their diagnostic efficacy was compared with that of the composite reference standard.

resultsThe sensitivity, specificity, PPV, NPV, and AUC of the tNGS assay for detecting LNTB were 95.4%, 88.9%, 98.4%, 72.7%, and 0.921, respectively. Those of the MTB culture were 26.2%, 100.0%, 100.0%, 15.8%, and 0.631, respectively. Those of the Xpert MTB/RIF assay were 72.3%, 100.0%, 100.0%, 33.3%, and 0.862, respectively. Those of the pathological examination were 80.0%, 88.9%, 98.1%, 38.1%, and 0.844, respectively. Among the tests, the tNGS assay had the highest sensitivity, and the results significantly differed among the methods.

conclusionThe tNGS assay using CNB samples had a superior diagnostic efficacy for diagnosing LNTB. Hence, it has potential in clinical application. CLINICAL TRIAL: Not applicable.

Indexed as

High-Throughput Nucleotide SequencingMycobacterium tuberculosisTuberculosis, Lymph NodeAdultAgedBiopsy, Large-Core NeedleFemaleHumansLymph NodesMaleMiddle AgedSensitivity and SpecificityYoung AdultCore needle biopsyLymph node tuberculosisTargeted next-generation sequencingXpert MTB/RIF

Identifiers

PMID41618212
PMCPMC12930836

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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.