Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children
Smith J, Milligan K, McCarthy K, Mchembere W, Okeyo E, Musau S, Okumu A, Song R, Click E, Cain K. Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children. PLOS Digital Health 2023, 2: e0000249. PMID: 37195976, PMCID: PMC10191346, DOI: 10.1371/journal.pdig.0000249.Peer-Reviewed Original ResearchMicrobial confirmationTB diseaseYoung childrenNoninvasive procedureLarge prospective cohortCases of tuberculosisChest X-rayDiagnosis of tuberculosisClinical decision makingBacteriologic confirmationHousehold contactsTB infectionProspective cohortRadiologic factorsPaucibacillary natureClinical similaritiesDiagnostic cohortClinical diseaseChildhood diseasesInvasive proceduresNovel biomarkersTuberculosisClinical researchM. tuberculosisDiseaseDevelopment of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis
Gunasekera K, Marcy O, Muñoz J, Lopez-Varela E, Sekadde M, Franke M, Bonnet M, Ahmed S, Amanullah F, Anwar A, Augusto O, Aurilio R, Banu S, Batool I, Brands A, Cain K, Carratalá-Castro L, Caws M, Click E, Cranmer L, García-Basteiro A, Hesseling A, Huynh J, Kabir S, Lecca L, Mandalakas A, Mavhunga F, Myint A, Myo K, Nampijja D, Nicol M, Orikiriza P, Palmer M, Sant'Anna C, Siddiqui S, Smith J, Song R, Thuong Thuong N, Ung V, van der Zalm M, Verkuijl S, Viney K, Walters E, Warren J, Zar H, Marais B, Graham S, Debray T, Cohen T, Seddon J. Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis. The Lancet Child & Adolescent Health 2023, 7: 336-346. PMID: 36924781, PMCID: PMC10127218, DOI: 10.1016/s2352-4642(23)00004-4.Peer-Reviewed Original ResearchConceptsTreatment decision algorithmsPrimary health care settingsIndividual participant dataHigh tuberculosis incidencePulmonary tuberculosisManagement of tuberculosisHealth care centersComposite reference standardHealth care settingsClinical featuresTuberculosis incidenceClinical evaluationParticipant dataTreatment decisionsChest X-ray featuresPrimary health care centersFuture prospective evaluationTuberculosis-related mortalityEvidence-based algorithmChest X-rayVariable diagnostic performanceMultivariable prediction modelReference standardEvidence-based approachTuberculosis experts