Evidence map›Paper›PMID 27160840›Full record

ArticleBMJ open2016

Protocol for a population-based molecular epidemiology study of tuberculosis transmission in a high HIV-burden setting: the Botswana Kopanyo study.

N M Zetola, C Modongo, P K Moonan, E Click, J E Oeltmann, J Shepherd, A Finlay

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% of its field
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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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  11. Phylogenetic diversity of Mycobacterium tuberculosis in two geographically distinct locations in Botswana - The Kopanyo Study.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
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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

7 authors at 4 institutions in 2 countries.

N M ZetolaDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
C ModongoDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA Botswana-UPenn Partnership, Department of Medicine, University of Pennsylvania Gaborone, Gaborone, Botswana.
P K MoonanDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
E ClickDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
J E OeltmannDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
J ShepherdDivision of Infectious Diseases, Department of Medicine, Yale University, New Heaven, Connecticut, USA.
A FinlayDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · USUniversity of Botswana · BWUniversity of Pennsylvania · USYale University · US

Funding

Dynamics of TB and MDR TB transmission in areas with high HIV prevalenceR01AI097045 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ZETOLA, NICOLA MARIO · 2011 to 2015
$2.9M
NIAID NIH HHS R01 AI097045
6 · The paper itself

Abstract

introductionMycobacterium tuberculosis (Mtb) is transmitted from person to person via airborne droplet nuclei. At the community level, Mtb transmission depends on the exposure venue, infectiousness of the tuberculosis (TB) index case and the susceptibility of the index case's social network. People living with HIV infection are at high risk of TB, yet the factors associated with TB transmission within communities with high rates of TB and HIV are largely undocumented. The primary aim of the Kopanyo study is to better understand the demographic, clinical, social and geospatial factors associated with TB and multidrug-resistant TB transmission in 2 communities in Botswana, a country where 60% of all patients with TB are also infected with HIV. This manuscript describes the methods used in the Kopanyo study. METHODS AND ANALYSIS: The study will be conducted in greater Gaborone, which has high rates of HIV and a mobile population; and in Ghanzi, a rural community with lower prevalence of HIV infection and home to the native San population. Kopanyo aims to enrol all persons diagnosed with TB during a 4-year study period. From each participant, sputum will be cultured, and for all Mtb isolates, molecular genotyping (24-locus mycobacterial interspersed repetitive units-variable number of tandem repeats) will be performed. Patients with matching genotype results will be considered members of a genotype cluster, a proxy for recent transmission. Demographic, behavioural, clinical and social information will be collected by interview. Participant residence, work place, healthcare facilities visited and social gathering venues will be geocoded. We will assess relationships between these factors and cluster involvement to better plan interventions for reducing TB transmission. ETHICS: Ethical approval from the Independent Review Boards at the University of Pennsylvania, US Centers for Disease Control and Prevention, Botswana Ministry of Health and University of Botswana has been obtained.

Indexed as

BotswanaCluster AnalysisCoinfectionGenotypeGeographic MappingHIV InfectionsHumansInterspersed Repetitive SequencesMolecular EpidemiologyMycobacterium tuberculosisPrevalenceResearch DesignTandem Repeat SequencesTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryMolecular EpidemiologyMulti-Drug Resistant TuberculosisTransmission

Identifiers

PMID27160840
PMCPMC4874111
OpenAlexW2345915649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.