Evidence map›Paper›PMID 32903905›Full record

ArticleInfection and drug resistance2020

Rifampicin-resistant

Shiv Kumar Sah, Pramod Raj Bhattarai, Anjana Shrestha, Deepak Dhami, Deepa Guruwacharya, Renu Shrestha

Abstract read
In one paragraph

Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Rifampicin resistantSAGE open medicine · 2023
    Article
  8. Article
  9. Detection ofIJID regions · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Magnitude ofInfection and drug resistance · 2021
    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

6 authors.

Shiv Kumar SahLittle Buddha College of Health Science, Purbanchal University, Minbhawan, Kathmandu, Nepal.ORCID 0000-0002-8284-5925
Pramod Raj BhattaraiNational Tuberculosis Control Center, Bhaktapur, Nepal.
Anjana ShresthaAsian College for Advance Studies, Purbanchal University, Satdobato, Lalitpur, Nepal.
Deepak DhamiAsian College for Advance Studies, Purbanchal University, Satdobato, Lalitpur, Nepal.
Deepa GuruwacharyaAsian College for Advance Studies, Purbanchal University, Satdobato, Lalitpur, Nepal.
Renu ShresthaAsian College for Advance Studies, Purbanchal University, Satdobato, Lalitpur, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMycobacterium tuberculosis(MTB) remains a major public health problem worldwide, and emergence of drug-resistant TB has become a significant obstacle to effective TB control. However, the rate of MTB and rifampicin resistant-MTB (RR-MTB) in the Nepalese setting has not been studied extensively. Therefore, the present study aims to assess the rate of MTB and RR-MTB and further determine the factors associated with it.

methodsA retrospective cross-sectional study, among national representative data of 990 consecutive presumptive TB resister of patients subjected to the GeneXpert test that presented to the tuberculosis referral hospital, was conducted over a one year period from February 2018 to January 2019. Significance for the difference for categorical data was performed by Chi-square test and factors associated with MTB and RR-MTB were assessed using binary logistic regression yielding OR with 95%CI.

resultsOf total 990 presumptive tuberculosis analyzed cases, median ages of the patients were 39±19.09 years and two-thirds of the patients were male 653 (66.0%). The estimated prevalence of MTB in presumptive TB patients was 13.8% (95%CI: 11.88%-16.16%), and risk for MTB was significantly associated with previously treated patients: OR: 10.4 (

conclusionThe overall prevalence of MTB and RR-MTB was high in Nepalese study population,  and that being previously treated with anti-TB drug remained significant predictors for MTB; proactive measures are urgently needed to address the challenge of prompt diagnosis, early management and improved monitoring of treatment to limit the emergence drug-resistant MTB strains in the community.

Indexed as

MTB prevalenceNepalrisk factorsRR-MTB prevalence

Identifiers

PMID32903905
PMCPMC7445509

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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.