Evidence map›Paper›PMID 41848297›Full record

ArticleJournal of clinical microbiology2026

Predicting isoniazid resistance in

Kruthikaben Patel, Joseph Shea, Pascal Lapierre, Tanya A Halse, Donna Kohlerschmidt, Michelle Dickinson, Vincent Escuyer, Kimberlee A Musser

Abstract read
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

8 authors.

Kruthikaben Patel *Wadsworth Center, New York State Department of Health, Albany, New York, USA.
Joseph Shea *Wadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0002-5939-4193
Pascal LapierreWadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0003-1238-0955
Tanya A HalseWadsworth Center, New York State Department of Health, Albany, New York, USA.
Donna KohlerschmidtWadsworth Center, New York State Department of Health, Albany, New York, USA.
Michelle DickinsonWadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0003-4382-8003
Vincent EscuyerWadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0002-4435-6709
Kimberlee A MusserWadsworth Center, New York State Department of Health, Albany, New York, USA.ORCID 0000-0003-1922-5405

Funding

Association of Public Health Laboratories 1U60OE000103
6 · The paper itself

Abstract

Isoniazid (INH) is a critical antibiotic used worldwide for the treatment and prophylaxis of tuberculosis. Drug resistance (DR) to INH is the single most common type of DR, mediated by multiple genes/loci, including IMPORTANCE: Isoniazid (INH) is one of the two most critical antibiotics used as part of standard treatment of tuberculosis and is also used as preventative therapy for contacts of tuberculosis patients, despite having a higher rate of drug resistance than all other antibiotics used in standard therapy. Furthermore, isoniazid resistance typically precedes rifampin resistance in the development of multidrug-resistant TB. As such, the reliable detection of INH resistance is crucial for case management and to limit the acquisition of additional drug resistance. The present study describes a whole-genome sequencing approach to predicting INH resistance from clinical isolates and models how this technology can be used within a reduced phenotypic drug susceptibility testing algorithm to limit duplicate testing, saving resources and time while maintaining the sensitivity of resistance detection.

Indexed as

Antitubercular AgentsDrug Resistance, BacterialIsoniazidMycobacterium tuberculosisWhole Genome SequencingGenome, BacterialGenotypeHumansMicrobial Sensitivity TestsNew YorkPredictive Value of TestsSensitivity and SpecificityAntitubercular AgentsIsoniaziddrug resistanceinhAisoniazidkatGtuberculosiswhole-genome sequencing

Identifiers

PMID41848297
PMCPMC13059772

What OpenQuestion holds

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Registered trials

None linked

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.