Evidence map›Paper›PMID 38977729›Full record

ArticleScientific reports2024

Multi-centric evaluation of Truenat MTB and MTB-RIF Dx assays for diagnosis of extrapulmonary tuberculosis.

Urvashi B Singh, Manjula Singh, Camilla Rodrigues, D J Christopher, Neeraj Mahajan, Abhinav Srivastav, Kh Jitenkumar Singh, Sunita Kanswal, M V V Rao, Mubin Kazi and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. ChatGPT in precision medicine.APL bioengineering · 2026
    Review
  2. Article
  3. Review
  4. Authors' response.The Indian journal of medical research · 2025
    Article
  5. Article
  6. 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

17 authors.

Urvashi B SinghDepartment of Microbiology, AIIMS, New Delhi, India. drurvashi@gmail.com.
Manjula SinghDivision of Epidemiology and Communicable Diseases, ICMR, New Delhi, India.
Camilla RodriguesDepartment of Microbiology, P D Hinduja Hospital, Mumbai, India.
D J ChristopherDepartment of Pulmonary Medicine, CMC, Vellore, India.
Neeraj MahajanDepartment of Microbiology, AIIMS, New Delhi, India.
Abhinav SrivastavDepartment of Microbiology, AIIMS, New Delhi, India.
Kh Jitenkumar SinghNational Institute of Medical Statistics, ICMR, New Delhi, India.
Sunita KanswalDepartment of Microbiology, AIIMS, New Delhi, India.
M V V RaoNational Institute of Medical Statistics, ICMR, New Delhi, India.
Mubin KaziDepartment of Microbiology, P D Hinduja Hospital, Mumbai, India.
Damini SawantDepartment of Microbiology, P D Hinduja Hospital, Mumbai, India.
Balamugesh ThangakunamDepartment of Pulmonary Medicine, CMC, Vellore, India.
Coelho Victor VijayDepartment of Pulmonary Medicine, CMC, Vellore, India.
Deepa ShankarDepartment of Pulmonary Medicine, CMC, Vellore, India.
Anuj BhatnagarDepartment of Tuberculosis and Chest Diseases, Rajan Babu Institute for Pulmonary Medicine and Tuberculosis, New Delhi, India.
Anant MohanDepartment of Pulmonary Medicine, AIIMS, New Delhi, India.
Vineet AhujaDepartment of Gastroenterology, AIIMS, New Delhi, India.

Funding

Indian Council of Medical Research 5/8/5/14/ITRC/2018/ECD-I
6 · The paper itself

Abstract

Extra-pulmonary TB (EPTB) is difficult to diagnose due to paucibacillary nature of disease. Current study evaluated accuracy of Truenat MTB and MTB-Rif Dx (TN), for detection of Mycobacterium tuberculosis and resistance to rifampicin. Samples were collected from 2103 treatment naive adults with presumptive EPTB, and tested by smear microscopy, liquid culture (LC) (MGIT-960) and GeneXpert MTB/RIF (GX) (Microbiological Reference Standards, MRS). TN results were compared to MRS and Composite Reference Standards (CRS, Microbiology, histopathology, radiology, clinical features prompting decision to treat, response to treatment). CRS grouped patients into 551 confirmed, 1096 unconfirmed, and 409 as unlikely TB. TN sensitivity and specificity was 73.7% and 90.4% against GX. Against LC, Overall sensitivity of GX was 67.6%, while that of TN was 62.3%. Highest sensitivity by TN was observed in pus samples (89%) and highest specificity (92%) in CSF samples, similar to GX. TN sensitivity was better in fluid and biopsy samples and slightly inferior for lymph node aspirates compared to GX. TN sensitivity for RIF resistance detection was slightly superior to GX. TN and GX results were further compared to Clinical Reference Standards. TN detected 170 TB patients initiated on treatment missed by GX, while GX detected 113 such patients missed by TN. Of 124 samples with RIF resistance discordance between GX and TN, GX reported 103/124 as sensitive, 3/124 as indeterminate and 18 as resistant (13/18 samples had low/very low DNA load) while TN reported RIF resistance indeterminate in 103/111 low/very low DNA load samples. Due to paucibacillary nature of EPTB samples, culture yield was poor and phenotypic drug susceptibility testing failed to resolve the discordance. The study establishes TN at par with GX and can be utilized for quick and accurate diagnosis of EPTB.

Indexed as

RifampinSensitivity and SpecificityTuberculosis, ExtrapulmonaryAdultAgedDrug Resistance, BacterialFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisYoung AdultRifampinComposite reference standardsExtrapulmonary tuberculosisGeneXpert MTB/RIFMicrobiological reference standardsTruenat MTB-RIF

Identifiers

PMID38977729
PMCPMC11231208

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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.