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Development of Treatment-decision Algorithms for Children Evaluated for Pulmonary Tuberculosis: an Individual Participant Data Meta-analysis by Kenneth S Gunasekera; Olivier Marcy; Johanna Muñoz; Elisa Lopez-Varela; Moorine P Sekadde; Molly F Franke; Maryline Bonnet; Shakil Ahmed; Farhana Amanullah; Aliya Anwar; Orvalho Augusto; Rafaela Baroni Aurilio; Sayera Banu; Iraj Batool; Annemieke Brands; Kevin P Cain; Lucía Carratalá-Castro; Maxine Caws; Eleanor S Click; Lisa M Cranmer; Alberto L García-Basteiro; Anneke C Hesseling; Julie Huynh; Senjuti Kabir; Leonid Lecca; Anna Mandalakas; Farai Mavhunga; Aye Aye Myint; Kyaw Myo; Dorah Nampijja; Mark P Nicol; Patrick Orikiriza; Megan Palmer; Clemax Couto Sant'Anna; Sara Ahmed Siddiqui; Jonathan P Smith; Rinn Song; Nguyen Thuy Thuong Thuong; Vibol Ung; Marieke M van der Zalm; Sabine Verkuijl; Kerri Viney; Elisabetta G Walters; Joshua L Warren; Heather J Zar; Ben J Marais; Stephen M Graham; Thomas P A Debray; Ted Cohen; James A Seddon is a Medicine article available to read on EtoBox.

## Summary ## Background Many children with pulmonary tuberculosis remain undiagnosed and untreated with related high morbidity and mortality. Recent advances in childhood tuberculosis algorithm development have incorporated prediction modelling, but studies so far have been small and localised, with limited generalisability. We aimed to evaluate the performance of currently used diagnostic algorithms and to use prediction modelling to develop evidence-based algorithms to assist in tuberculosis treatment decision making for children presenting to primary health-care centres. ## Methods For this meta-analysis, we identified individual participant data from a WHO public call for data on the management of tuberculosis in children and adolescents and referral from childhood tuberculosis experts. We included studies that prospectively recruited consecutive participants younger than 10 years attending health-care centres in countries with a high tuberculosis incidence for clinical evaluation of pulmonary tuberculosis. We collated individual participant data including clinical, bacteriological, and radiological information and a standardised reference classification of pulmonary tuberculo

Author

Kenneth S Gunasekera; Olivier Marcy; Johanna Muñoz; Elisa Lopez-Varela; Moorine P Sekadde; Molly F Franke; Maryline Bonnet; Shakil Ahmed; Farhana Amanullah; Aliya Anwar; Orvalho Augusto; Rafaela Baroni Aurilio; Sayera Banu; Iraj Batool; Annemieke Brands; Kevin P Cain; Lucía Carratalá-Castro; Maxine Caws; Eleanor S Click; Lisa M Cranmer; Alberto L García-Basteiro; Anneke C Hesseling; Julie Huynh; Senjuti Kabir; Leonid Lecca; Anna Mandalakas; Farai Mavhunga; Aye Aye Myint; Kyaw Myo; Dorah Nampijja; Mark P Nicol; Patrick Orikiriza; Megan Palmer; Clemax Couto Sant'Anna; Sara Ahmed Siddiqui; Jonathan P Smith; Rinn Song; Nguyen Thuy Thuong Thuong; Vibol Ung; Marieke M van der Zalm; Sabine Verkuijl; Kerri Viney; Elisabetta G Walters; Joshua L Warren; Heather J Zar; Ben J Marais; Stephen M Graham; Thomas P A Debray; Ted Cohen; James A Seddon

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Health Sciences)