↓ Skip to main content

PLOS

Tuberculosis Incidence Rates during 8 Years of Follow-Up of an Antiretroviral Treatment Cohort in South Africa: Comparison with Rates in the Community

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

policy
1 policy source
twitter
1 X user
f1000
1 research highlight platform

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
244 Mendeley
Title
Tuberculosis Incidence Rates during 8 Years of Follow-Up of an Antiretroviral Treatment Cohort in South Africa: Comparison with Rates in the Community
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0034156
Pubmed ID
Authors

Ankur Gupta, Robin Wood, Richard Kaplan, Linda-Gail Bekker, Stephen D. Lawn

Abstract

Although antiretroviral therapy (ART) is known to be associated with time-dependent reductions in tuberculosis (TB) incidence, the long-term impact of ART on incidence remains imprecisely defined due to limited duration of follow-up and incomplete CD4 cell count recovery in existing studies. We determined TB incidence in a South African ART cohort with up to 8 years of follow-up and stratified rates according to CD4 cell count recovery. We compared these rates with those of HIV-uninfected individuals living in the same community.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
South Africa 2 <1%
Zimbabwe 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
Unknown 234 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 61 25%
Researcher 35 14%
Student > Ph. D. Student 31 13%
Student > Bachelor 20 8%
Student > Postgraduate 19 8%
Other 42 17%
Unknown 36 15%
Readers by discipline Count As %
Medicine and Dentistry 101 41%
Agricultural and Biological Sciences 20 8%
Nursing and Health Professions 17 7%
Immunology and Microbiology 15 6%
Biochemistry, Genetics and Molecular Biology 14 6%
Other 34 14%
Unknown 43 18%