Evidence map›Paper›PMID 42283516›Full record

ArticleJournal of clinical microbiology2026

Performance of a targeted next generation sequencing assay for mycobacterial identification and drug resistance from sputum and isolates.

Sharon K Kuss-Duerkop, Paul Godo, Emily K DeCurtis, Van Pham, Lorraine Abushanab, Valerie Archuleta, Gregory T Robertson, Yongbao Wang, Reeti Khare

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sharon K Kuss-DuerkopAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Paul GodoAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Emily K DeCurtisUniversity of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Van PhamAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Lorraine AbushanabAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Valerie ArchuletaAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Gregory T RobertsonMycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.ORCID 0000-0001-7157-4034
Yongbao WangAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.
Reeti KhareAdvanced Diagnostic Laboratories, National Jewish Health, Denver, Colorado, USA.ORCID 0000-0002-6686-8545

Funding

National Jewish Health Internal fundingPreclinical Design and Clinical Translation of TB Regimens (PReDicTR) Consortium UM1AI179699
6 · The paper itself

Abstract

Accurate identification and genotypic drug resistance prediction in mycobacteria are essential for early diagnosis and appropriate clinical management. Targeted next-generation sequencing (tNGS) detects multiple genetic targets and enables direct testing from primary specimens. We evaluated identification using the Deeplex Myc-TB assay for

Indexed as

Drug Resistance, BacterialHigh-Throughput Nucleotide SequencingMolecular Diagnostic TechniquesMycobacterium tuberculosisNontuberculous MycobacteriaSputumAntitubercular AgentsGenotypeHumansMicrobial Sensitivity TestsSensitivity and SpecificityAntitubercular AgentsDeeplexgenotypic susceptibilitiesidentificationmolecular diagnosticsMTBCmycobacterianontuberculous mycobacteriaNTMsusceptibility testingtargeted next generation sequencingtNGStuberculosiswhole genome sequencing

Identifiers

PMID42283516
PMCPMC13343929

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.