Evidence map›Paper›PMID 29028800›Full record

ArticlePloS one2017

Spatial distribution of extensively drug-resistant tuberculosis (XDR TB) patients in KwaZulu-Natal, South Africa.

Thandi Kapwata, Natashia Morris, Angela Campbell, Thuli Mthiyane, Primrose Mpangase, Kristin N Nelson, Salim Allana, James C M Brust, Pravi Moodley, Koleka Mlisana and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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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

12 authors.

Thandi KapwataEnvironment and Health Research Unit, South African Medical Research Council, Johannesburg, South Africa.
Natashia MorrisBiostatistics Unit, South African Medical Research Council, Durban, KwaZulu-Natal, South Africa.
Angela CampbellDepartments of Epidemiology and Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.
Thuli MthiyaneDepartments of Medical Microbiology and Virology, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
Primrose MpangaseDepartments of Medical Microbiology and Virology, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
Kristin N NelsonDepartments of Epidemiology and Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.
Salim AllanaDepartments of Epidemiology and Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.
James C M BrustDivision of General Internal Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, United States of America.
Pravi MoodleyDepartments of Medical Microbiology and Virology, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
Koleka MlisanaDepartments of Medical Microbiology and Virology, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.
Neel R GandhiDepartments of Epidemiology and Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.ORCID http://orcid.org/0000-0002-1665-299X
N Sarita ShahDepartments of Epidemiology and Global Health, Emory University Rollins School of Public Health, Atlanta, Georgia, United States of America.

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Role of antigen-specific T cell responses in the control of TBU19AI111211 · NIAID · EMORY UNIVERSITY · PI BLUMBERG, HENRY M, ERNST, JOEL D. · 2014 to 2020
$20.1M
Immunology/Pathology CoreP30AI051519 · NIAID · YESHIVA UNIVERSITY · PI GOLDSTEIN, HARRIS · 2003 to 2013
$18.6M
Impact of HIV, Antiretroviral Therapy and TB Genotype on Survival in MDR TBR01AI087465 · NIAID · EMORY UNIVERSITY · PI GANDHI, NEEL RAJNIKANT · 2010 to 2014
$3.9M
Transmission of HIV-Associated XDR TB in Rural South AfricaR01AI089349 · NIAID · EMORY UNIVERSITY · PI GANDHI, NEEL RAJNIKANT · 2010 to 2014
$3.7M
Mentorship in Patient-Oriented Research in Tuberculosis, HIV and Global HealthK24AI114444 · NIAID · EMORY UNIVERSITY · PI GANDHI, NEEL RAJNIKANT · 2014 to 2023
$1.8M
Integrated, Home-based Treatment for MDR TB and HIV in Rural South AfricaK23AI083088 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BRUST, JAMES C M · 2010 to 2014
$665k
NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR001073NCATS NIH HHS UL1 TR002378NIAID NIH HHS K23 AI083088NIAID NIH HHS K24 AI114444NIAID NIH HHS P30 AI050409NIAID NIH HHS P30 AI051519NIAID NIH HHS R01 AI087465NIAID NIH HHS R01 AI089349NIAID NIH HHS U19 AI111211
6 · The paper itself

Abstract

backgroundKwaZulu-Natal province, South Africa, has among the highest burden of XDR TB worldwide with the majority of cases occurring due to transmission. Poor access to health facilities can be a barrier to timely diagnosis and treatment of TB, which can contribute to ongoing transmission. We sought to determine the geographic distribution of XDR TB patients and proximity to health facilities in KwaZulu-Natal.

methodsWe recruited adults and children with XDR TB diagnosed in KwaZulu-Natal. We calculated distance and time from participants' home to the closest hospital or clinic, as well as to the actual facility that diagnosed XDR TB, using tools within ArcGIS Network analyst. Speed of travel was assigned to road classes based on Department of Transport regulations. Results were compared to guidelines for the provision of social facilities in South Africa: 5km to a clinic and 30km to a hospital.

resultsDuring 2011-2014, 1027 new XDR TB cases were diagnosed throughout all 11 districts of KwaZulu-Natal, of whom 404 (39%) were enrolled and had geospatial data collected. Participants would have had to travel a mean distance of 2.9 km (CI 95%: 1.8-4.1) to the nearest clinic and 17.6 km (CI 95%: 11.4-23.8) to the nearest hospital. Actual distances that participants travelled to the health facility that diagnosed XDR TB ranged from <10 km (n = 143, 36%) to >50 km (n = 109, 27%), with a mean of 69 km. The majority (77%) of participants travelled farther than the recommended distance to a clinic (5 km) and 39% travelled farther than the recommended distance to a hospital (30 km). Nearly half (46%) of participants were diagnosed at a health facility in eThekwini district, of whom, 36% resided outside the Durban metropolitan area.

conclusionsXDR TB cases are widely distributed throughout KwaZulu-Natal province with a denser focus in eThekwini district. Patients travelled long distances to the health facility where they were diagnosed with XDR TB, suggesting a potential role for migration or transportation in the XDR TB epidemic.

Indexed as

AdultChildExtensively Drug-Resistant TuberculosisFemaleHealth FacilitiesHumansMaleRural PopulationSouth AfricaSpatial Analysis

Identifiers

PMID29028800
PMCPMC5640212

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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.