Evidence map›Paper›PMID 33067551›Full record

ArticleScientific reports2020

Prevalence and factors associated with multidrug-resistant tuberculosis in South India.

Smita S Shivekar, Venkatesh Kaliaperumal, Usharani Brammacharry, Anbazhagi Sakkaravarthy, C K Vidya Raj, Chitra Alagappan, Muthuraj Muthaiah

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 12% of its field
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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Heteroresistance inFrontiers in cellular and infection microbiology · 2026
    Review
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  17. Antimicrobial resistance profile and prevalence ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Article
  18. Article
  19. Drug resistance profiles ofJAC-antimicrobial resistance · 2024
    Article
  20. 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

7 authors at 3 institutions in 1 country.

Smita S ShivekarDepartment of Microbiology, State TB Training and Demonstration Centre, Government Hospital for Chest Diseases, Puducherry, India.
Venkatesh KaliaperumalDepartment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India. microbiovenkat@gmail.com.
Usharani BrammacharryDepartment of Genetics, Dr.A.L.M. Postgraduate Institute of Basic Medical Sciences, University of Madras, Tamil Nadu, Chennai, India. usharani.unom@gmail.com.
Anbazhagi SakkaravarthyDepartment of Environmental Science, Central University, Kasargod, Kerala, India.
C K Vidya RajDepartment of Microbiology, State TB Training and Demonstration Centre, Government Hospital for Chest Diseases, Puducherry, India.
Chitra AlagappanDepartment of Microbiology, State TB Training and Demonstration Centre, Government Hospital for Chest Diseases, Puducherry, India.
Muthuraj MuthaiahDepartment of Microbiology, State TB Training and Demonstration Centre, Government Hospital for Chest Diseases, Puducherry, India. drmuthurajm@gmail.com.
Central University of Kerala · INJawaharlal Institute of Post Graduate Medical Education and Research · INUniversity of Madras · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India accounts for about one-fourth of the global burden of MDR-TB. This study aims to assess  the prevalence and factors associated with tuberculosis drug resistance among patients from South India. MTBDRplus assay and MGIT liquid culture performed on 20,245 sputum specimens obtained from presumptive MDR-TB cases during a six-year period from 2013 to 2018 were analyzed retrospectively. Univariate and multivariate logistic regression analysis was carried out to evaluate factors associated with MDR, Rifampicin mono-resistance, and Isoniazid mono-resistance. MDR, Rifampicin mono- resistant and Isoniazid mono-resistant TB were  found in 5.4%, 2.5%, and 11.4% cases of presumptive MDR-TB, respectively. Based on the rpoB gene, true resistance, hetero-resistance, and inferred resistance to Rifampicin was found in 38%, 29.3%, and 32.7% of the 1582 MDR cases, respectively. S450L (MUT3) was the most common rpoB mutation present in 59.4% of the Rifampicin resistant cases. Of the 3390 Isoniazid resistant cases, 72.5% had mutations in the katG gene, and 27.5% had mutations in the inhA gene. True resistance, heteroresistance, and inferred resistance accounted for 42.9%, 22.2%, and 17.3% of the 2459 katG resistant cases, respectively. True resistance, heteroresistance, and inferred resistance for the inhA gene were found in 54.5%, 40.7%, and 4.7% cases, respectively. MDR-contact (AOR 3.171 95% CI: 1.747-5.754, p-0.000) treatment failure (AOR 2.17595% CI: 1.703-2.777, p-0.000) and female gender (AOR 1.315 95% CI: 1.117-1.548, p-0.001), were positively associated with MDR-TB. Previous TB treatment did not show a significant positive association with MDR (AOR 1.113 95% CI: 0.801-1.546, p-0.523). Old age (AOR 0.994 95% CI: 0.990-0.999, p-0.023) and HIV seropositivity (AOR 0.580 95% CI: 0.369-0.911, p-0.018) were negatively associated with MDR-TB. Although Rifampicin mono-resistance had a positive association with treatment failure (AOR 2.509 95% CI: 1.804-3.490, p < .001), it did not show any association with previous TB treatment (AOR 1.286 95% CI: 0.765-2.164, p-0.342) or with history of contact with MDR-TB (AOR 1.813 95% CI: 0.591-5.560, p-0.298). However, INH mono-resistance showed a small positive association with the previous history of treatment for TB (AOR 1.303 95% CI: 1.021-1.662, p-0.033). It was also positively associated (AOR 2.094 95% CI: 1.236-3.548, p-0.006) with MDR-TB contacts. Thus INH resistance may develop during treatment if compliance has not adhered too and may be easily passed on to the contacts while Rifampicin resistance is probably due to factors other than treatment compliance. MDR-TB, i.e. resistance to both Rifampicin and Isoniazid, is strongly correlated with treatment failure, spread through contact, and not to treatment compliance. The temporal trend in this region shows a decrease in MDR prevalence from 8.4% in 2015 to 1.3% in 2018. A similar trend is observed for Rifampicin mono-resistance and Isoniazid mono-resistance, pointing to the effectiveness of the TB control program. The higher proportion of inferred resistance observed for Rifampicin compared with INH may indicate a surfeit of mechanisms that enable rifampicin resistance. Association of MDR-TB with age, gender, and HIV status suggest the role of the immune system in the emergence of the MDR phenotype.

Indexed as

AdolescentAdultAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesFemaleGenotypeGeographyHumansIndiaIsoniazidMaleMicrobial Sensitivity TestsMicroscopy, FluorescenceMiddle AgedAntitubercular AgentsBacterial ProteinsCatalaseDNA-Directed RNA PolymerasesInhA protein, MycobacteriumIsoniazidkatG protein, Mycobacterium tuberculosisOxidoreductasesrpoB protein, Mycobacterium tuberculosis

Identifiers

PMID33067551
PMCPMC7567814
OpenAlexW3093112651

What OpenQuestion holds

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LicenceCC BY
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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.