CD4 Cell Count: A Critical Tool in the Human Immunodeficiency Virus Response
暂无分享,去创建一个
[1] S. Lockman,et al. Advanced HIV disease in the botswana combination prevention project: prevalence, risk factors, and outcomes. , 2020, AIDS.
[2] C. Denkinger,et al. Diagnostic accuracy of a novel tuberculosis point-of-care urine lipoarabinomannan assay for people living with HIV: A meta-analysis of individual in- and outpatient data , 2020, PLoS medicine.
[3] N. Ford,et al. Trends in CD4 and viral load testing 2005 to 2018: Multi-cohort study of people living with HIV in Southern Africa , 2020 .
[4] J. Etard,et al. Distribution of advanced HIV disease from three high HIV prevalence settings in Sub-Saharan Africa: a secondary analysis data from three population-based cross-sectional surveys in Eshowe (South Africa), Ndhiwa (Kenya) and Chiradzulu (Malawi) , 2019, Global health action.
[5] T. Le. World Health Organization Guidelines for managing advanced HIV disease and rapid initiation of antiretroviral therapy , 2018 .
[6] N. Ford,et al. CD4 Cell Count Threshold for Cryptococcal Antigen Screening of HIV-Infected Individuals: A Systematic Review and Meta-analysis , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[7] N. Ford,et al. The Continuing Burden of Advanced HIV Disease Over 10 Years of Increasing Antiretroviral Therapy Coverage in South Africa , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[8] N. Ford,et al. Persistent High Burden of Advanced HIV Disease Among Patients Seeking Care in South Africa’s National HIV Program: Data From a Nationwide Laboratory Cohort , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[9] Richard D Moore,et al. Global Trends in CD4 Cell Count at the Start of Antiretroviral Therapy: Collaborative Study of Treatment Programs , 2018, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[10] N. Ford,et al. The WHO public health approach to HIV treatment and care: looking back and looking ahead. , 2017, The Lancet. Infectious diseases.
[11] A. Boulle,et al. Contemporary disengagement from antiretroviral therapy in Khayelitsha, South Africa: A cohort study , 2017, PLoS medicine.
[12] K. Maitland,et al. Enhanced Prophylaxis plus Antiretroviral Therapy for Advanced HIV Infection in Africa , 2017, The New England journal of medicine.
[13] S. Eholie,et al. Antiretroviral treatment regardless of CD4 count: the universal answer to a contextual question , 2016, AIDS Research and Therapy.
[14] N. Ford,et al. Causes of hospital admission among people living with HIV worldwide: a systematic review and meta-analysis. , 2015, The lancet. HIV.
[15] Evangelos Kontopantelis,et al. Regression based quasi-experimental approach when randomisation is not an option: interrupted time series analysis , 2015, BMJ : British Medical Journal.
[16] L. Guinness,et al. Cryptococcal meningitis screening and community-based early adherence support in people with advanced HIV infection starting antiretroviral therapy in Tanzania and Zambia: an open-label, randomised controlled trial , 2015, The Lancet.
[17] O. Sued,et al. Co-trimoxazole prophylaxis in adults, including pregnant women, with HIV: a systematic review and meta-analysis. , 2015, The lancet. HIV.
[18] C. Gilks,et al. A Single CD4 Test with 250 Cells/Mm3 Threshold Predicts Viral Suppression in HIV-Infected Adults Failing First-Line Therapy by Clinical Criteria , 2013, PloS one.
[19] N. Ford,et al. HIV viral load monitoring in resource-limited regions: optional or necessary? , 2007, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.
[20] S. Gove,et al. The WHO public-health approach to antiretroviral treatment against HIV in resource-limited settings , 2006, The Lancet.
[21] Alexander C. Wagenaar,et al. The Value of Interrupted Time-Series Experiments for Community Intervention Research , 2000, Prevention Science.
[22] Donald T. Campbell,et al. Reforms as Experiments , 1969 .