2020
The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis
Martinez L, Cords O, Horsburgh C, Andrews J, Consortium P, Acuna-Villaorduna C, Ahuja S, Altet N, Augusto O, Baliashvili D, Basu S, Becerra M, Bonnet M, Boom W, Borgdorff M, Boulahbal F, Carvalho A, Cayla J, Chakhaia T, Chan P, Cohen T, Croda J, Datta S, del Corral H, Denholm J, Dietze R, Dobler C, Donkor S, Egere U, Ellner J, Espinal M, Evans C, Fang C, Fielding K, Fox G, García L, García-Basteiro A, Geis S, Graham S, Grandjean L, Hannoun D, Hatherill M, Hauri A, Hesseling A, Hill P, Huang L, Huerga H, Hussain R, Jarlsberg L, Jones-López E, Kato S, Kato-Maeda M, Kampmann B, Kirchner H, Kritski A, Lange C, Lee C, Lee L, Lee M, Lemos A, Lienhardt C, Ling D, Liu Q, Lo N, Long R, Lopez-Varela E, Lu P, Magee M, Malone L, Mandalakas A, Martinson N, Mazahir R, Murray M, Netto E, Otero L, Parsonnet J, Reingold A, Schaaf H, Seddon J, Sharma S, Singh J, Singh S, Sloot R, Sotgiu G, Stein C, Iqbal N, Triasih R, Trieu L, van der Loeff M, Van der Stuyft P, van Schalkwyk C, Vashishtha R, Verhagen L, Villalba J, Wang J, Whalen C, Yoshiyama T, Zar H, Zellweger J, Zhu L. The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis. The Lancet 2020, 395: 973-984. PMID: 32199484, PMCID: PMC7289654, DOI: 10.1016/s0140-6736(20)30166-5.Peer-Reviewed Original ResearchConceptsYears of agePreventive therapyIncident tuberculosisTuberculosis infectionHazard ratioTuberculosis casesMixed-effects Poisson regression modelsSystematic reviewFinal analysisClose exposureIncident tuberculosis casesRisk of tuberculosisDevelopment of tuberculosisEMBASE electronic databasesIndividual participant dataPositive resultsPoisson regression modelsWeb of ScienceMixed-effects logistic modelBCG vaccinationCohort studyBaseline visitPrevalent tuberculosisContact investigationProspective study
2018
Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study
Marx FM, Yaesoubi R, Menzies NA, Salomon JA, Bilinski A, Beyers N, Cohen T. Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study. The Lancet Global Health 2018, 6: e426-e435. PMID: 29472018, PMCID: PMC5849574, DOI: 10.1016/s2214-109x(18)30022-6.Peer-Reviewed Original ResearchConceptsHigh-incidence settingsIsoniazid preventive therapyPreventive therapyTuberculosis treatmentActive casesHIV prevalenceTuberculosis controlControl interventionsIncident tuberculosis casesPrevious tuberculosis treatmentTuberculosis control interventionsTB case notificationHigh-risk groupTransmission dynamic modelTuberculosis deathsHigh tuberculosisRecurrent diseasePrevalent tuberculosisTuberculosis casesTuberculosis incidenceCase notificationTreatment outcomesTuberculosis morbidityTuberculosis epidemicAdditional interventions
2017
Drivers of Tuberculosis Transmission
Mathema B, Andrews JR, Cohen T, Borgdorff MW, Behr M, Glynn JR, Rustomjee R, Silk BJ, Wood R. Drivers of Tuberculosis Transmission. The Journal Of Infectious Diseases 2017, 216: s644-s653. PMID: 29112745, PMCID: PMC5853844, DOI: 10.1093/infdis/jix354.Peer-Reviewed Original ResearchConceptsRecent transmissionTuberculosis transmissionTuberculosis casesCulture-positive tuberculosis casesInterferon-γ release assaysΓ release assaysTuberculin skin testMycobacterium tuberculosis infectionTuberculosis case notificationTransmission of tuberculosisPublic health systemPrevalent tuberculosisTuberculosis infectionSkin testIncident diseaseCase notificationClinical diseaseHealth systemCapacity of healthcareOngoing transmissionTuberculosisYoung childrenHighlight knowledge gapsInfection eventsWhole-genome sequencing
2016
High burden of prevalent tuberculosis among previously treated people in Southern Africa suggests potential for targeted control interventions
Marx FM, Floyd S, Ayles H, Godfrey-Faussett P, Beyers N, Cohen T. High burden of prevalent tuberculosis among previously treated people in Southern Africa suggests potential for targeted control interventions. European Respiratory Journal 2016, 48: 1227-1230. PMID: 27390274, PMCID: PMC5512114, DOI: 10.1183/13993003.00716-2016.Peer-Reviewed Original ResearchConceptsHigh-burden settingsHigh TB prevalenceRecurrent tuberculosisExogenous reinfectionPrevalent tuberculosisTB prevalenceSuccessful treatmentHigh burdenImportant underlying mechanismHigh riskHigh incidenceControl interventionsTargeted interventionsTuberculosisUnderlying mechanismOne-thirdInterventionBurdenCape TownIndividualsReinfectionPrevalenceIncidenceDiseaseSetting
2011
Diabetes mellitus and tuberculosis in countries with high tuberculosis burdens: individual risks and social determinants
Goldhaber-Fiebert JD, Jeon CY, Cohen T, Murray MB. Diabetes mellitus and tuberculosis in countries with high tuberculosis burdens: individual risks and social determinants. International Journal Of Epidemiology 2011, 40: 417-428. PMID: 21252210, PMCID: PMC3621385, DOI: 10.1093/ije/dyq238.Peer-Reviewed Original ResearchConceptsDiabetes prevalenceTB prevalenceSocial determinantsHigh TB burdenBody mass indexHigh tuberculosis burdenType 2 diabetesIndividual-level risk factorsWorld Health SurveyTB burdenDiabetes mellitusPrevalent tuberculosisTuberculosis burdenMass indexIndividual-level riskBody of evidenceRisk factorsHealth SurveyDiabetesTuberculosisPrevalenceLow-income countriesHealth policyIndividual riskPopulation health