Evidence map›Paper›PMID 39464923›Full record

ArticleJournal of family medicine and primary care2024

Audit of risk factors of drug-sensitive, drug-resistant tuberculosis disease, a case-control study of patients registered under NTEP, Gujarat.

Viral Shah, M Yogesh, Deep R Kothari, Rohankumar B Gandhi, Jay J Nagda

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. 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

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Does the risk factor assessment help to reduce drug-resistant tuberculosis?Journal of family medicine and primary care · 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

5 authors.

Viral ShahDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
M YogeshDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
Deep R KothariDepartment of Respiratory Medicine, Narendra Modi Medical College, Ahmedabad, Gujarat, India.
Rohankumar B GandhiDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.
Jay J NagdaDepartment of Community Medicine, Shri M P Shah Government Medical College, Jamnagar, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Characterizing risk factors for drug-resistant tuberculosis (TB) is critical to guide targeted interventions in high-burden settings like India. We aimed to identify socioeconomic, lifestyle, and clinical factors associated with drug-sensitive and drug-resistant TB acquisition. Materials and Methods: A comparative cross-sectional study recruited 350 bacteriologically confirmed TB patients registered under the National Tuberculosis Elimination Program (NTEP) in Gujarat, India, and 300 matched participants without active/past TB. Multinomial logistic regression analyzed risk factors for 200 drug-sensitive and 150 drug-resistant TB cases compared to participants without active or past TB. Results: Key factors independently associated with higher adjusted odds ratios (aOR) of both TB types included low socioeconomic status (SES) (drug-sensitive TB: aOR 1.7, 95% CI 1.2-2.5; drug-resistant TB: aOR 2.2, 95% CI 1.3-3.7), crowding (>5 persons/room) (drug-sensitive TB: aOR 1.6, 95% CI 1.1-2.3; drug-resistant TB: aOR 1.9, 95% CI 1.2-2.9), undernutrition (drug-sensitive TB: aOR 1.6, 95% CI 1.1-2.3; drug-resistant TB: aOR 2.0, 95% CI 1.2-3.2), smoking (drug-sensitive TB: aOR 1.5, 95% CI 1.0-2.3; drug-resistant TB: aOR 1.7, 95% CI 1.1-2.7), and indoor air pollution (drug-sensitive TB: aOR 1.5, 95% CI 1.0-2.2; drug-resistant TB: aOR 1.8, 95% CI 1.2-2.8). Conclusion: Marked social determinants and clinical risks drive heightened susceptibility for both TB types in India, while prior inadequate treatment and nosocomial exposures selectively enable additional drug resistance. Holistic prevention policies jointly targeting transmission, vulnerability, and curative factors are imperative.

Indexed as

Anti-TB drug resistancecomparative cross-sectional studyIndiarisk factorstuberculosis

Identifiers

PMID39464923
PMCPMC11504741

What OpenQuestion holds

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Registered trials

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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.