Evidence map›Paper›PMID 40844110›Full record

ArticleThe Indian journal of medical research2025

Multicentric validation of the PathoDetect™ MTB RIF & INH assay for simultaneous detection of Mycobacterium tuberculosis, & drug resistance to rifampicin & isoniazid in presumptive pulmonary tuberculosis & drug-resistant TB patients.

Hansraj Choudhary, Garima Malik, Devendra Singh Chauhan, Manpreet Bhalla, Azger Dusthackeer, Prabha Desikan, Sidhartha Giri, Sandeep Kumar, Madhumathi Jayaprakasam, Ajay Vir Singh and 14 more

Abstract readMulticenter Study
In one paragraph

Article in The Indian journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Authors' response.The Indian journal of medical research · 2025
    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

24 authors.

Hansraj ChoudharyDivision of Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Garima MalikDivision of Delivery Research, Indian Council of Medical Research, New Delhi, India.
Devendra Singh ChauhanDepartment of Microbiology & Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, Uttar Pradesh, India.
Manpreet BhallaDepartment of Microbiology, National Institute for Tuberculosis and Respiratory Diseases, New Delhi, India.
Azger DusthackeerDepartment of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Prabha DesikanDepartment of Microbiology, ICMR-Bhopal Memorial Hospital and Research Centre, Bhopal, India.
Sidhartha GiriDepartment of NRL for Tuberculosis, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Sandeep KumarMicrobiology Laboratory, ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India.
Madhumathi JayaprakasamDivision of Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Ajay Vir SinghDepartment of Microbiology & Molecular Biology, ICMR-National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra, Uttar Pradesh, India.
Prabhpreet SethiDepartment of Microbiology, National Institute for Tuberculosis and Respiratory Diseases, New Delhi, India.
Md Shakir RezaDepartment of Microbiology, National Institute for Tuberculosis and Respiratory Diseases, New Delhi, India.
V MythilyDepartment of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
V ThiyagarajanDepartment of Bacteriology, ICMR-National Institute for Research in Tuberculosis, Chennai, Tamil Nadu, India.
Nikita PanwalkarDepartment of Microbiology, ICMR-Bhopal Memorial Hospital and Research Centre, Bhopal, India.
Jyotismita TripathyDepartment of NRL for Tuberculosis, ICMR-Regional Medical Research Centre, Bhubaneswar, India.
Devdatt ManiMicrobiology Laboratory, ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India.
Diksha SinghMicrobiology Laboratory, ICMR-National Institute of Research in Tribal Health, Jabalpur, Madhya Pradesh, India.
P M RameshDepartment of Respiratory Medicine, Government Thiruvatteeswarar Hospital of Thoracic Medicine, Chennai, Tamil Nadu, India.
Manjeet Singh ChalgaDivision of Informatics and Data Centre, #Indian Council of Medical Research, New Delhi, India.
Rajni RaniDivision of Delivery Research, Indian Council of Medical Research, New Delhi, India.
Nivedita GuptaDivision of Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Ravindra Mohan PandeyDivision of Communicable Diseases, Indian Council of Medical Research, New Delhi, India.
Manjula SinghDivision of Delivery Research, Indian Council of Medical Research, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives Tuberculosis (TB) remains a major global health concern, with India accounting for 26 per cent of the global burden. Despite advances, access to rapid molecular diagnostics is limited, and the assays currently used in National TB Elimination Programme (NTEP) do not detect isoniazid (INH) resistance upfront. PathoDetect™ MTB RIF & INH is an indigenous closed-system assay that simultaneously detects Mycobacterium tuberculosis (MTB) and resistance to rifampicin (RIF) and INH. This study evaluated its diagnostic characteristics. Methods In this cross-sectional multicenter study conducted at six TB reference laboratories in India, 1039 participants were enrolled (718 presumptive pulmonary TB, 321 presumptive multidrug resistant TB; MDR-TB). PathoDetect™'s discriminatory ability was assessed using the measures sensitivity and specificity, and its diagnostic performance using positive predictive value (PPV) and negative predictive value (NPV). Liquid culture served as the reference standard for MTB detection, while phenotypic drug susceptibility testing (pDST) and line probe assay (LPA) as reference standards for RIF and INH resistance detection. Results For MTB detection in presumptive pulmonary TB (PTB), PathoDetect™ showed a sensitivity of 98.1 per cent [95% confidence interval (CI): 96.1-99.2], specificity of 94.2 per cent (95% CI: 91-96.5), PPV of 94.9 per cent (95% CI: 92.2-96.9), and NPV of 97.8 per cent (95% CI: 95.5-99.1) with near-perfect agreement with Truenat® (k=0.89). Among 514 confirmed TB cases, PathoDetect™ detected RIF resistance with a sensitivity of 86.5 per cent (95% CI: 80.2-91.5), specificity of 91.6 per cent (95% CI: 88.2-94.3), PPV of 82.3 per cent (95% CI: 75.6-87.8), and NPV of 93.8 per cent (95% CI: 90.7-96.1). For INH resistance, sensitivity was 88.9 per cent (95% CI: 84.1-92.6), specificity 87 per cent (95% CI: 82.4-90.8), PPV 85.6 per cent (95% CI: 80.5-89.8), and NPV 90 per cent (95% CI: 85.7-93.4) using pDST as reference. Truenat® MTB-RIF showed comparable performance for RIF resistance detection (k=0.75). Compared to line probe assay (LPA), PathoDetect™ demonstrated higher sensitivity (93.4 vs. 88.8%), specificity (98.2 vs. 93.9%), PPV (96.1 vs. 86.8%) and NPV (97 vs. 94.9%) for RIF resistance detection over Truenat®. Interpretation & conclusions PathoDetect™ is a reliable molecular diagnostic tool for detection of MTB and resistance to RIF & INH. The assay showed better RIF resistance detection compared to INH. Its high sensitivity and specificity indicate strong discriminatory ability, while PPV and NPV demonstrate reasonably good diagnostic performance in the study population. These findings support PathoDetect™ as a promising alternative for rapid TB diagnosis, particularly in high-burden settings.

Indexed as

IsoniazidMycobacterium tuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAdultAntitubercular AgentsFemaleHumansIndiaMaleMicrobial Sensitivity TestsMiddle AgedRifampinSensitivity and SpecificityAntitubercular AgentsIsoniazidRifampinHigh throughput assayisoniazidMDR-TBpathodetectrifampicintuberculosis

Identifiers

PMID40844110
PMCPMC12550425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.