ArticleAIDS care2011
Treatment switching in South Indian patients on HAART: what are the predictors and consequences?
Article in AIDS care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Enhancing HIV medication adherence in India.Journal of the International Association of Providers of AIDS CareTrial
- Incidence and Predictors of Antiretroviral Treatment Modification in HIV-Infected Adults: A Brazilian Historical Cohort from 2001 to 2010.Journal of tropical medicine · 2017Article
- Predictors of immunological failure of antiretroviral therapy among HIV infected patients in Ethiopia: a matched case-control study.PloS one · 2014Article
- Reasons for and correlates of antiretroviral treatment interruptions in a cohort of patients from public and private clinics in southern India.AIDS care · 2012Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Early identification and management of treatment failure on highly active antiretroviral therapy (HAART) is crucial in maintaining a sustained response to therapy in HIV infection. However, HIV viral load (VL) and resistance testing, and second-line HAART regimens, are unaffordable to many patients in India, leaving them with limited treatment options. Predictors and reasons for antiretroviral switching, therefore, are likely to differ in settings of varying resources. A one-year, observational study of patients receiving antiretroviral therapy was conducted in a private, non-profit hospital in Bangalore. This paper examines the predictors and consequences of antiretroviral treatment switching in this setting and explores reasons for switching in a subset of patients. Data on demographics, drug regimens, adherence, and physical and psychosocial outcomes were collected quarterly. Tests of VL and CD4 cell counts were performed every six months. One-third of the patients switched therapy during the study period. Baseline predictors of switching included lower CD4 cell counts and more physical symptoms. Contrary to studies in other settings, a high VL did not predict treatment switching, and only a minority of those experiencing drug failure were switched to second-line regimens. Both groups (switchers and non-switchers) improved significantly over time with respect to CD4 counts and psychological well-being, and showed a reduction in physical and depressive symptoms. Any differences between the groups were no longer significant at the end of the study, once we controlled for baseline levels. Clinical, policy, and research implications of these findings are discussed within the context of resource-limited settings.
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Registered trials
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