Evidence map›Paper›PMID 37711648›Full record

ArticleIJID regions2023

Prevalence, drug-susceptibility pattern and associated factors of

Girma Hordofa, Getamesay Mulatu, Deresse Daka

Erratum issuedAbstract read
In one paragraph

Article in IJID regions, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Drug resistance pulmonary tuberculosis among prisoners in Ethiopia: A systematic review andJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Girma HordofaOromia region West Arsi Zone, Ethiopia.
Getamesay MulatuHawassa University, College of Medicine and Health Sciences, Hawassa, Ethiopia.
Deresse DakaHawassa University, College of Medicine and Health Sciences, Hawassa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Each year, tuberculosis (TB) in prisons is a major worldwide health concern that results in millions of diseases. It is particularly prevalent in low socio-economic countries like Ethiopia because of the poverty, overcrowding, starvation, lack of access to basic healthcare services, and high prevalence of HIV infection in these countries. Methods: A cross-sectional study with 259 prisoners was carried out in the western Arsi zonal prison from November to January 2021. The sputum samples were taken from suspected TB patients and evaluated using the Gene Xpert Mycobacterium tuberculosis/rifampcine test. Line probe assay was used to assess the molecular drug susceptibility of isolates from positive sputum. A bivariate and multivariate logistic regression was analyzed using SPSS version 24 packages. Odds ratio (OR) and corresponding 95% CI were used to quantify the degrees of association between target potential risk factors and Results: The prevalence of undiagnosed pulmonary TB (PTB) verified positive cases was 5.4% (95% CI 2.7, 8.5) out of 259 research participants that were recruited in this study. One (0.38%) occurrence of mono-drug resistance to isoniazid was found among them. In this study, variables that were significantly linked with PTB positive were age ≥30 years, smoking (adjusted OR [AOR] = 0.087, 95% CI = 0.01-0.93, Conclusion: In West Arsi zonal prisons, PTB and mono-drug resistance for isoniazid were found to be more common than in the general population.

Indexed as

Drug-resistanceEthiopiaMycobacterium tuberculosisPrevalencePrison

Identifiers

PMID37711648
PMCPMC10498159

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.