Evidence map›Paper›PMID 31888518›Full record

Observational studyBMC infectious diseases2019

Urban-rural disparities in treatment outcomes among recurrent TB cases in Southern Province, Zambia.

Simon Mutembo, Jane N Mutanga, Kebby Musokotwane, Cuthbert Kanene, Kevin Dobbin, Xiaobai Yao, Changwei Li, Vincent C Marconi, Christopher C Whalen

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Heterogeneity of Mycobacterium tuberculosis Strains Circulating in Panama's Western Region.The American journal of tropical medicine and hygiene · 2023
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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

9 authors.

Simon MutemboDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA. simon.mutembo@gmail.com.ORCID http://orcid.org/0000-0002-5389-5966
Jane N MutangaDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA.
Kebby MusokotwaneMinistry of Health, Provincial Health Office, Hospital Road, Livingstone, Zambia.
Cuthbert KaneneCenters for Disease Control and Prevention, Zambia Country Office, Livingstone, Zambia.
Kevin DobbinDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA.
Xiaobai YaoDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA.
Changwei LiDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA.
Vincent C MarconiDivision of Infectious Diseases, School of Medicine, Emory University, Atlanta, USA.
Christopher C WhalenDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, USA.

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Community Transmission of Tuberculosis Urban AfricaR01AI093856 · NIAID · UNIVERSITY OF GEORGIA · PI WHALEN, CHRISTOPHER C. · 2012 to 2021
$5.7M
NIAID NIH HHS P30 AI050409NIAID NIH HHS R01 AI093856
6 · The paper itself

Abstract

backgroundAt least 13-20% of all Tuberculosis (TB) cases are recurrent TB. Recurrent TB has critical public health importance because recurrent TB patients have high risk of Multi-Drug Resistant TB (MDR-TB). It is critical to understand variations in the prevalence and treatment outcomes of recurrent TB between different geographical settings. The objective of our study was to estimate the prevalence of recurrent TB among TB cases and compare risk of unfavorable treatment outcomes between rural and urban settings.

methodsIn a retrospective cohort study conducted in southern province of Zambia, we used mixed effects logistic regression to asses associations between explanatory and outcome variables. Primary outcome was all-cause mortality and exposure was setting (rural/urban). Data was abstracted from the facility TB registers.

resultsOverall 3566 recurrent TB cases were diagnosed among 25,533 TB patients. The prevalence of recurrent TB was 15.3% (95% CI: 14.8 15.9) in urban and 11.3% (95% CI: 10.7 12.0) in rural areas. Death occurred in 197 (5.5%), 103 (2.9%) were lost to follow-up, and 113 (3.2%) failed treatment. Rural settings had 70% higher risk of death (adjusted OR: 1.7; 95% CI: 1.2 2.7). Risk of lost to follow-up was twice higher in rural than urban (adjusted OR: 2.0 95% CI: 1.3 3.0). Compared to HIV-uninfected, HIV-infected individuals on Antiretroviral Treatment (ART) were 70% more likely to die (adjusted OR: 1.7; 95% CI: 1.2 3.1).

conclusionRecurrent TB prevalence was generally high in both urban and rural settings. The risk of mortality and lost to follow-up was higher among rural patients. We recommend a well-organized Directly Observed Therapy strategy adapted to setting where heightened TB control activities are focused on areas with poor treatment outcomes.

Indexed as

Healthcare DisparitiesRural PopulationUrban PopulationAdolescentAdultChildCoinfectionFemaleHIVHIV InfectionsHumansLogistic ModelsLost to Follow-UpMaleMiddle AgedPrevalenceDeathRecurrent tuberculosisRuralTreatment outcomesUrban

Identifiers

PMID31888518
PMCPMC6938018

What OpenQuestion holds

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LicenceCC BY
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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.