Comparisons of Adherence to Antiretroviral Therapy in a High- Risk Population in China: A Systematic Review and Meta-Analysis-Reference-Cited by-同舟云学术

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Comparisons of Adherence to Antiretroviral Therapy in a High- Risk Population in China: A Systematic Review and Meta-Analysis

Published:2016-01-12 Issue:1 Volume:11 Page:e0146659
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Huan Zhou,Fuzhi Wang,Lu Liu,Min Zhang,Xingzhi Chen,Shiyang Jin

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference58 articles.

1. HIV infection: epidemiology, pathogenesis, treatment, and prevention;G Maartens;Lancet,2014

2. Antiretroviral therapy uptake, attrition, adherence and outcomes among HIV-infected female sex workers: a systematic review and meta-analysis;E Mountain;PLoS One,2014

3. HIV treatment adherence, drug resistance, virologic failure: evolving concepts;JB Nachega;Infect Disord Drug Targets,2011

4. Adherence to highly active antiretroviral therapy (HAART): a meta-analysis;C Ortego;AIDS Behav,2011

5. HIV prevalence in China: integration of surveillance data and a systematic review;L Zhang;Lancet Infect Dis,2013

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Factors associated with antiretroviral treatment adherence among people living with HIV in Guangdong Province, China: a cross sectional analysis;BMC Public Health;2024-05-20

2. A differentiated digital intervention to improve antiretroviral therapy adherence among men who have sex with men living with HIV in China: a randomized controlled trial;BMC Medicine;2022-10-10

3. Challenges to HIV Care and Psychological Health During the COVID-19 Pandemic Among People Living with HIV in China;AIDS and Behavior;2020-05-07

4. Evaluation of smartphone APP-based case-management services among antiretroviral treatment-naïve HIV-positive men who have sex with men: a randomized controlled trial protocol;BMC Public Health;2020-01-20

5. Trend of HIV-1 drug resistance in China: A systematic review and meta-analysis of data accumulated over 17 years (2001–2017);EClinicalMedicine;2020-01

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