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A longitudinal cohort study of HIV ‘treatment as prevention’ in gay, bisexual and other men who have sex with men: the Treatment with Antiretrovirals and their Impact on Positive And Negative men (TAIP…

Overview of attention for article published in BMC Infectious Diseases, December 2016
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Title
A longitudinal cohort study of HIV ‘treatment as prevention’ in gay, bisexual and other men who have sex with men: the Treatment with Antiretrovirals and their Impact on Positive And Negative men (TAIPAN) study protocol
Published in
BMC Infectious Diseases, December 2016
DOI 10.1186/s12879-016-2073-2
Pubmed ID
Authors

D. Callander, M. Stoové, A. Carr, J. F. Hoy, K. Petoumenos, M. Hellard, J. Elliot, D. J. Templeton, S. Liaw, D. P. Wilson, A. Grulich, D. A. Cooper, A. Pedrana, B. Donovan, J. McMahon, G. Prestage, M. Holt, C. K. Fairley, N. McKellar-Stewart, S. Ruth, J. Asselin, P. Keen, C. Cooper, B. Allan, J. M. Kaldor, R. Guy

Abstract

Australia has increased coverage of antiretroviral treatment (ART) over the past decade, reaching 73% uptake in 2014. While ART reduces AIDS-related deaths, accumulating evidence suggests that it could also bolster prevention efforts by reducing the risk of HIV transmission ('treatment as prevention'). While promising, evidence of community-level impact of treatment as prevention on reducing HIV incidence among gay and bisexual men is limited. We describe a study protocol that aims to determine if scale up of testing and treatment for HIV leads to a reduction in community viraemia and, in turn, if this reduction is temporally associated with a reduction in HIV incidence among gay and bisexual men in Australia's two most populous states. Over the period 2009 to 2017, we will establish two cohorts making use of clinical and laboratory data electronically extracted retrospectively and prospectively from 73 health services and laboratories in the states of New South Wales and Victoria. The 'positive cohort' will consist of approximately 13,000 gay and bisexual men (>90% of all people living with HIV). The 'negative cohort' will consist of at least 40,000 HIV-negative gay and bisexual men (approximately half of the total population). Within the negative cohort we will use standard repeat-testing methods to calculate annual HIV incidence. Community prevalence of viraemia will be defined as the proportion of men with a viral load ≥200RNA copies/mm(3), which will combine viral load data from the positive cohort and viraemia estimates among those with an undiagnosed HIV infection. Using regression analyses and adjusting for behavioural and demographic factors associated with infection, we will assess the temporal association between the community prevalence of viraemia and the incidence of HIV infection. Further analyses will make use of these cohorts to assess incidence and predictors of treatment initiation, repeat HIV testing, and viral suppression. This study will provide important information on whether 'treatment as prevention' is associated with a reduction in HIV incidence at a community level among gay and bisexual men.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Student > Ph. D. Student 7 13%
Student > Master 6 11%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 10 18%
Unknown 16 29%
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Nursing and Health Professions 8 15%
Agricultural and Biological Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Social Sciences 2 4%
Other 5 9%
Unknown 23 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2016.
All research outputs
#18,800,225
of 23,299,593 outputs
Outputs from BMC Infectious Diseases
#5,708
of 7,803 outputs
Outputs of similar age
#310,484
of 421,268 outputs
Outputs of similar age from BMC Infectious Diseases
#143
of 204 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.