ArticleThe Libyan journal of medicine2020
Drug-resistant tuberculosis: an experience from Qatar.
Article in The Libyan journal of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Six-year retrospective comparison of GeneXpert MTB/RIF Ultra PCR and culture for pediatric tuberculosis diagnosis in non-sputum samples.Microbiology spectrum · 2026Article
- Three decades of tuberculosis research in Qatar (1993-2022): A scoping review and future direction.Qatar medical journal · 2026Review
- The clinical profile and outcomes of drug resistant tuberculosis in Central Province of Zambia.BMC infectious diseases · 2024Review
- Clinical features, resistance patterns and treatment outcomes of drug-resistant extra-pulmonary tuberculosis: A scoping review.Journal of clinical tuberculosis and other mycobacterial diseases · 2023Article
- Phenotypic Drug Resistance Pattern and Mutation Characteristics ofInfection and drug resistance · 2023Article
- HIV and AIDS-defining opportunistic illnesses in the state of Qatar: A cohort population-based retrospective study covering 17 years (2000-2016).Annals of medicine and surgery (2012) · 2022Article
- Review
- A Saudi Arabian Public Health Perspective of Tuberculosis.International journal of environmental research and public health · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was conducted to evaluate the characteristics, treatment outcome and risk factors associated with 223 drug-resistant tuberculosis (DR-TB) cases in the State of Qatar. A descriptive records-based retrospective study was conducted on patients registered at Communicable Disease Centre (CDC), Qatar to all consecutive microbiologically confirmed tuberculosis cases for the period January 2010 - March 2015. Demographic, clinical data, drug-resistance pattern of isolated mycobacteria and treatment outcome was assessed for the patient who completed their treatment in Qatar. Of 3301 patients with positive M. tuberculosis culture were analyzed; 223 (6.7%) were resistant to at least one drug. The overall prevalence of multi-d rug resistant TB (MDR-TB) was 1.2% (n = 38) of patients. A former resident of Indian sub contents was the most common demographic characteristic observed (64.1%). The outcome of treatment was assessed for 85 resistant cases with follow-up after completion of treatment. Cure and relapse rates were 97.6%, and 2.4%, respectively. Drug-resistant TB in Qatar is influenced by migration where the patients were probably infected. Rapid sputum sampling performed in the early stages of the disease, patient isolation, and drug-susceptibility testing should be the standard of care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.