Using Biomarkers to Predict TB Treatment Duration (Predict TB): A
Gates Open Research Gates Open Research 2017, 1:9 Last updated: 19 MAY 2021 STUDY PROTOCOL Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial [version 1; peer review: 3 approved] Ray Y. Chen 1, Laura E. Via1,2, Lori E. Dodd3, Gerhard Walzl4, Stephanus T. Malherbe4, André G. Loxton4, Rodney Dawson5, Robert J. Wilkinson 2,6,7, Friedrich Thienemann2,8, Michele Tameris 9, Mark Hatherill 9, Andreas H. Diacon10, Xin Liu11, Jin Xing12, Xiaowei Jin13, Zhenya Ma14, Shouguo Pan15, Guolong Zhang12, Qian Gao16, Qi Jiang16, Hong Zhu17, Lili Liang10, Hongfei Duan18, Taeksun Song19, David Alland20, Michael Tartakovsky21, Alex Rosenthal21, Christopher Whalen21, Michael Duvenhage21, Ying Cai1, Lisa C. Goldfeder1, Kriti Arora1, Bronwyn Smith4, Jill Winter22, Clifton E. Barry III1,2, Predict TB Study Group 1Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA 2Wellcome Centre for Infectious Diseases Research in Africa,Institute of Infectious Disease and Molecular Medicine, University of Cape Town (UCT), Cape Town, South Africa 3Biostatistics Research Branch, Division of Clinical Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, USA 4South Africa Department of Science and Technology - National Research Foundation Centre
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