Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time

• المؤلفون الرئيسيون: Frentz, Dineke, Assel, Matthias, De Luca, Andrea, Fabbiani, Massimiliano, Incardona, Francesca, Libin, Pieter, Manca, Nino, Müller, Viktor, Paredes, Roger, Quiros-Roldan, Eugenia, Ruiz, Lidia, Torti, Carlo, Vandamme, Anne-Mieke, Van Laethem, Kristel, Zazzi, Maurizio, Boucher, Charles A. B., Prosperi, Mattia C. F., Sloot, Peter M. A., van de Vijver, David A. M. C., Nuallain, Breanndan O.
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/96296; http://hdl.handle.net/10220/9871
• المؤسسة: Nanyang Technological University

Several decision support systems have been developed to interpret HIV-1 drug resistance genotyping results. This study compares the ability of the most commonly used systems (ANRS, Rega, and Stanford's HIVdb) to predict virological outcome at 12, 24, and 48 weeks. Methodology/Principal Findi...