Evidence map›Paper›PMID 29112745›Full record

ReviewThe Journal of infectious diseases2017

Drivers of Tuberculosis Transmission.

Barun Mathema, Jason R Andrews, Ted Cohen, Martien W Borgdorff, Marcel Behr, Judith R Glynn, Roxana Rustomjee, Benjamin J Silk, Robin Wood

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 4 pooled it
10.7field-weighted citation impact, top 1% 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

105 citing papers in PubMed, 4 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Pathways of TB Transmission in Children-A Systematic Review of Molecular Epidemiological Studies.International journal of environmental research and public health · 2023
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  17. Molecular Epidemiology ofMicroorganisms · 2025
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45 more citing papers are in PubMed but not listed here.

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 at 9 institutions in 6 countries.

Barun MathemaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York.
Jason R AndrewsDivision of Infectious Diseases and Geographic Medicine, Stanford University, California.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut.
Martien W BorgdorffCenters for Disease Control and Prevention, Kisumu, Kenya.
Marcel BehrMcGill International TB Centre, Research Institute of the McGill University Health Centre, Montreal,Canada.
Judith R GlynnFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom.
Roxana RustomjeeTuberculosis Clinical Research Branch, Therapeutics Research Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, Rockville, Maryland.
Benjamin J SilkDivision of Tuberculosis Elimination, Centers for Disease Control and Prevention, Atlanta, Georgia.
Robin WoodDesmond Tutu HIV Centre, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa.
Centers for Disease Control and Prevention · USColumbia University · USLondon School of Hygiene & Tropical Medicine · GBMcGill University Health Centre · CANational Institute of Allergy and Infectious Diseases · USStanford University · USUniversity of Amsterdam · NLUniversity of Cape Town · ZAYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Measuring tuberculosis transmission is exceedingly difficult, given the remarkable variability in the timing of clinical disease after Mycobacterium tuberculosis infection; incident disease can result from either a recent (ie, weeks to months) or a remote (ie, several years to decades) infection event. Although we cannot identify with certainty the timing and location of tuberculosis transmission for individuals, approaches for estimating the individual probability of recent transmission and for estimating the fraction of tuberculosis cases due to recent transmission in populations have been developed. Data used to estimate the probable burden of recent transmission include tuberculosis case notifications in young children and trends in tuberculin skin test and interferon γ-release assays. More recently, M. tuberculosis whole-genome sequencing has been used to estimate population levels of recent transmission, identify the distribution of specific strains within communities, and decipher chains of transmission among culture-positive tuberculosis cases. The factors that drive the transmission of tuberculosis in communities depend on the burden of prevalent tuberculosis; the ways in which individuals live, work, and interact (eg, congregate settings); and the capacity of healthcare and public health systems to identify and effectively treat individuals with infectious forms of tuberculosis. Here we provide an overview of these factors, describe tools for measurement of ongoing transmission, and highlight knowledge gaps that must be addressed.

Indexed as

Disease Transmission, InfectiousEnvironmental ExposureHumansMolecular EpidemiologyMycobacterium tuberculosisRisk FactorsTuberculosisepidemiologyestimating transmissiontransmissiontransmission amplifierstuberculosis

Identifiers

PMID29112745
PMCPMC5853844
OpenAlexW2766200396

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.