Evidence map›Paper›PMID 40065047›Full record

ArticleScientific reports2025

Prevalence of extrapulmonary tuberculosis and factors influencing successful treatment outcomes among notified cases in South India.

Cuppuswamy Kapalamurthy VidyaRaj, Maria Jose Vadakunnel, Balasundaram Revathi Mani, Muthukumar Anbazhagi, Gunavathy Pradhabane, Ramachandra Venkateswari, Suganthi Palavesam, Kaliyaperumal Venkatesh, Brammacharry Usharani, S R Sriramkumar and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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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

13 authors.

Cuppuswamy Kapalamurthy VidyaRajDepartment of Microbiology, Balaji Vidyapeeth (Deemed to be University, Puduchery, India.
Maria Jose VadakunnelInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Balasundaram Revathi ManiDepartment of Biochemistry, Queen Mary's College, Madras, Tamil Nadu, India.
Muthukumar AnbazhagiDepartment of Environmental Science, Central University, Kasarcode, Kerala, India.
Gunavathy PradhabaneDepartment of Biotechnology, Indira Gandhi College of Arts and Science, Indira Nagar, Gorimedu, Puducherry, India.
Ramachandra VenkateswariInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Suganthi PalavesamInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
Kaliyaperumal VenkateshNational Institute of Nutrition, ICMR, Hyderabad, Secunderabad, 500007, Telangana, India.
Brammacharry UsharaniInstitute of Basic Medical Sciences, University of Madras, Chennai, Tamil Nadu, India.
S R SriramkumarCentre for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha Nagar, Thandalam, Chennai, 602105, India.
Sangeetha SubramaniDepartment of Microbiology, State TB Training and Demonstration Centre, Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India.
Soundappan GovindarajanDepartment of Microbiology, State TB Training and Demonstration Centre, Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India.
Muthaiah MuthurajDepartment of Microbiology, State TB Training and Demonstration Centre, Intermediate Reference Laboratory, Government Hospital for Chest Diseases, Puducherry, India. drmuthurajm@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) remains a significant public health issue globally, with extra pulmonary tuberculosis (epTB) accounting for a considerable number of TB cases. This study aims to improve our understanding of epTB epidemiology by evaluating treatment outcomes and identifying factors associated with positive and negative treatment results in epTB patients. A retrospective study was conducted from January 1, 2016, to December 31, 2019. EpTB and rifampicin-resistant epTB were identified using the GeneXpert MTB/RIF assay. Logistic regression analysis was performed to determine the associated risk factors. Among the 4,526 patients with extra pulmonary tuberculosis, the positivity rate of Mycobacteriuum tuberculosis among the epTB was 16.5%, and the rate of rifampicin-resistant epTB was 4.83%. Most of patients had lymphadenitis TB (n = 348, 38.79%), followed by those with pus (n = 241, 31.95%). Of 746 epTB cases, 679 patients (91.02%) achieved successful treatment outcomes. Of the 36 patients with rifampicin-resistant epTB, 30 (83.3%) exhibited successful treatment outcomes. Tuberculous peritonitis (OR: 1.58), aspirate (OR: 1.59), gastric lavage (OR: 1.45), biopsy (OR: 1.73), Tuberculosis meningitis (TBM) (OR: 1.46), and tissue samples (OR: 3.33) were all significantly associated with unfavourable treatment outcomes. Patients with extrapulmonary tuberculosis (epTB) aged between 35 and 44 had a significantly higher likelihood of experiencing unsuccessful outcomes (OR = 1.79; 95% CI: 0.74-4.31, p = 0.0912). Additionally, individuals with a history of alcohol use showed a higher likelihood of poor outcomes (OR = 1.90; 95% CI: 0.25-14.42). Moreover, tuberculosis patients who used tobacco also had an increased likelihood of unfavourable treatment outcomes (OR = 2.62; 95% CI: 0.35-19.68).The study indicated that the rate of favourable treatment outcomes among epTB patients surpassed the World Health Organization's target of ≥ 90%. However, a significant number of patients were lost to follow-up during treatment.

Indexed as

TuberculosisAdolescentAdultAgedAntitubercular AgentsChildChild, PreschoolFemaleHumansIndiaMaleMiddle AgedMycobacterium tuberculosisPrevalenceRetrospective StudiesRifampinAntitubercular AgentsRifampinCerebrospinal fluidExtrapulmonaryLymphnodeMycobacterium tuberculosisRifampicin-resistantRisk factors

Identifiers

PMID40065047
PMCPMC11893790

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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.