Evidence map›Paper›PMID 42516516›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2026

Rapid Extensively Drug-Resistant (XDR) TB Diagnosis: An In-House DNA Biochip for Drug Resistance Detection and Mutation Profiling of

Bharti Jain, Savita Kulkarni, Nawab Singh Baghel

Abstract read
In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Rapid Extensively Drug-Resistant (XDR) TB Diagnosis: An In-House DNA Biochip for Drug Resistance Detection and Mutation Profiling ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
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

3 authors.

Bharti JainRadiation Medicine Centre, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India, barc.ernet.in.ORCID https://orcid.org/0009-0002-6782-4330
Savita KulkarniRadiation Medicine Centre, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India, barc.ernet.in.
Nawab Singh BaghelRadiation Medicine Centre, Bhabha Atomic Research Centre, Mumbai, Maharashtra, India, barc.ernet.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emergence of multidrug-resistant (MDR) and extensively drug-resistant (XDR) Methods: The biochip allowed the detection of 20 drug resistance-determining mutations in the Results: Out of 59 culture sensitive isolates, 53 were sensitive to all drugs by biochip, while 6 isolates showed different mutations. The biochip showed high concordance with culture DST. The diagnostic sensitivity of the biochip assay for all the drugs ranged from 75% to 100%. The specificities of the biochip for all the 7 drugs were over 97%. The developed biochip demonstrated analytical sensitivity of 10 Conclusions: The biochip enables simultaneous analysis of multiple resistance-associated mutation in a single assay providing a powerful tool for early detection, personalized therapy, and effective containment of both MDR and XDR-TB. The biochip is useful for clinical microbiology studies and surveillance programs.

Indexed as

DNA biochipdrug resistanceextensively drug-resistant tuberculosis (XDR-TB)molecular diagnosticsmultidrug-resistant TBmutation detectionMycobacterium tuberculosis

Identifiers

PMID42516516
PMCPMC13402939

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.