A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy-Reference-Cited by-同舟云学术

A comparison of computational models with and without genotyping for prediction of response to second-line HIV therapy

Published:2014-04-15 Issue:7 Volume:15 Page:442-448
ISSN:1464-2662
Container-title:HIV Medicine
language:en
Short-container-title:HIV Med

Author:

Revell AD¹,Boyd MA²,Wang D¹,Emery S²,Gazzard B³,Reiss P⁴⁵,van Sighem AI⁵,Montaner JS⁶,Lane HC⁷,Larder BA¹

Affiliation:

1. The HIV Resistance Response Database Initiative (RDI); London UK

2. The Kirby Institute for infection and immunity in society; University of New South Wales; Sydney NSW Australia

3. Chelsea and Westminster Hospital; London UK

4. Department of Global Health; Academic Medical Centre of the University of Amsterdam; Amsterdam Institute for Global Health and Development; Amsterdam The Netherlands

5. Stichting HIV Monitoring; Amsterdam The Netherlands

6. BC Centre for Excellence in HIV and AIDS; Vancouver BC Canada

7. National Institutes of Allergy and Infectious Diseases; Bethesda MD USA

Funder

National Institutes of Health

Publisher

Wiley

Subject

Pharmacology (medical),Infectious Diseases,Health Policy

Reference11 articles.

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2. Running with scissors: using antiretroviral therapy without monitoring viral load;Smith;Clin Infect Dis,2008

3. Ritonavir-boosted lopinavir plus nucleoside or nucleotide reverse transcriptase inhibitors versus ritonavir-boosted lopinavir plus raltegravir for treatment of HIV-1 infection in adults with virological failure of a standard first-line ART regimen (SECOND-LINE): a randomised, open-label, non-inferiority study;Second-Line Study Group;Lancet,2013

4. The development of an expert system to predict virological response to HIV therapy as part of an online treatment support tool;Revell;AIDS,2011

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