Evidence map›Paper›PMID 42852602›Full record

ArticleJournal of global health2026

Diagnosis of tuberculous lymphadenopathy: the role of droplet digital PCR.

Yu-Feng Wei, Ching-Yi Chen, Ping-Huai Wang, Yao-Wen Kuo, Chin-Chung Shu, Bo-Shiun Yan

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In one paragraph

Article in Journal of global health, 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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1 · What the graph read from it

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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.

Yu-Feng Wei *School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.
Ching-Yi Chen *School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan.
Ping-Huai Wang *Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.
Yao-Wen KuoDepartment of Integrated Diagnostics & Therapeutics, National Taiwan University Hospital, Taipei, Taiwan.
Chin-Chung ShuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Bo-Shiun YanGraduate Institute of Biochemistry and Molecular Biology, College of Medicine, National Taiwan University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tuberculous lymphadenopathy (TB-LAP) is the most common form of extrapulmonary TB and remains diagnostically challenging due to its paucibacillary nature. We evaluated the diagnostic performance of droplet digital PCR (ddPCR) for detecting Mycobacterium tuberculosis (Mtb) DNA in formalin-fixed paraffin-embedded (FFPE) lymph node specimens. Methods: We retrospectively analysed 102 lymph node FFPE specimens with microbiologically confirmed or pathology-suspected TB-LAP. We performed ddPCR targeting the IS6110 gene and correlated it with pathological findings and mycobacterial culture results. Diagnostic performance was assessed using receiver operating characteristic analysis. Results: Pathological findings included granulomatous inflammation (GI) (n = 67), caseating GI (CGI) (n = 22), CGI with acid-fast bacilli (AFB) (n = 7), GI with AFB (n = 1), and atypical findings (n = 5). There was a graded association between ddPCR and pathological severity (P for trend = 0.002), with the highest levels in CGI plus AFB and the lowest in non-TB-LAP cases. Mtb DNA concentration (copies/μL) was significantly higher in AFB-positive specimens (mean (x̄) = 22.9, standard deviation (SD) = 61.5) compared with AFB-negative specimens (x̄ = 0.6, SD = 0.8) (P = 0.044). Among 52 specimens sent for mycobacterial culture, 9 (17%) were culture-positive, and these specimens had significantly higher ddPCR values (P = 0.025). Receiver operating characteristic analysis yielded an area under the curve of 0.715 (95% confidence interval = 0.536-0.894) for AFB positivity. Using a cutoff value of >1.25 copies/μL resulted in 50% sensitivity and 86% specificity. Lowering the cutoff to >0.33 copies/μL increased sensitivity to 88%, but reduced specificity to 51%. Conclusions: We found that ddPCR quantitatively detects Mtb DNA in lymph node FFPE specimens and correlates with pathological severity and culture positivity. Although the overall diagnostic accuracy was moderate, ddPCR demonstrated distinct sensitivity and specificity profiles at different cutoff values and may serve as a useful adjunctive diagnostic tool when interpreted in conjunction with clinical and histopathological findings in TB-LAP.

Indexed as

Mycobacterium tuberculosisPolymerase Chain ReactionTuberculosis, Lymph NodeBacilloscopyDNA, BacterialFemaleHumansLymph NodesMaleRetrospective StudiesSensitivity and SpecificityDNA, Bacterialdroplet digital polymerase chain reactionformalin-fixed paraffin-embedded tissueMycobacterium tuberculosistuberculous lymphadenopathy

Identifiers

PMID42852602
PMCPMC13650971

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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.