Evidence map›Paper›PMID 41246464›Full record

ArticleIJTLD open2025

Comparing end-user diagnostic outputs from a commercial tNGS pipeline for

M Seifert, R E Colman, S Laurent, A De la Rossa, S Uplekar, C Rodrigues, N Tukvadze, S V Omar, A Suresh, T C Rodwell

Abstract read
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Article in IJTLD open, 2025. 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

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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No citing paper in PubMed yet.

4 · The record

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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

10 authors.

M SeifertFIND, Geneva, Switzerland.
R E ColmanFIND, Geneva, Switzerland.
S LaurentFIND, Geneva, Switzerland.
A De la RossaFIND, Geneva, Switzerland.
S UplekarFIND, Geneva, Switzerland.
C RodriguesHinduja Hospital and Medical Research Centre, Tuberculosis, Mumbai, India.
N TukvadzeNational Center for Tuberculosis and Lung Diseases, Tuberculosis, Tbilisi, Georgia.
S V OmarCentre for Tuberculosis, National and WHO Supranational TB Reference Laboratory, National Institute for Communicable Diseases, A Division of the National Health Laboratory Service, Johannesburg, South Africa.
A SureshFIND, Geneva, Switzerland.
T C RodwellFIND, Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted next-generation sequencing has emerged as a rapid solution for diagnosing drug-resistant TB (DR-TB) directly from clinical specimens. Updating the bioinformatics software component can lead to rapid improvements in diagnostic performance. We compared the diagnostic performance of an updated bioinformatic pipeline output to the original pipeline output for the Oxford Nanopore Technology (ONT) TB Drug Resistance Test.

methodsA total of 721 sediment samples were evaluated for 13 anti-TB drugs using phenotypic drug susceptibility testing and whole genome sequencing. Sequencing data outputs previously analysed using the original pipeline were re-analysed using an updated pipeline and compared.

resultsThere were no significant differences in successful sequencing results, and direct comparison of DR-TB call agreement was substantial (κ > 0.7) between the original and updated pipeline outputs. Diagnostic accuracy relative to the composite reference standard was compared, and significant (

conclusionComparison of the updated pipeline to the original pipeline revealed significant improvements in diagnostic performance, demonstrating that bioinformatic enhancements alone - without wet-lab modifications - can substantially boost sensitivity and diagnostic yield for DR-TB. These findings underscore the critical role of continuous pipeline optimisation in the evolving resistance landscape to enhance real-time clinical decision-making.

Indexed as

diagnosisdrug resistancepipeline updatestargeted next-generation sequencingtuberculosis

Identifiers

PMID41246464
PMCPMC12617087

What OpenQuestion holds

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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.