Evidence map›Paper›PMID 26609066›Full record

ArticleJournal of the Royal Society, Interface2015

The impact of antiretroviral therapy on population-level virulence evolution of HIV-1.

Hannah E Roberts, Philip J R Goulder, Angela R McLean

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hannah E RobertsNuffield Department of Clinical Medicine, The Peter Medawar Building for Pathogen Research, University of Oxford, Oxford OX1 3SY, UK hannah.roberts@ndm.ox.ac.uk.
Philip J R GoulderDepartment of Paediatrics, University of Oxford, Oxford OX1 3SY, UK HIV Pathogenesis Programme, The Doris Duke Medical Research Institute, University of KwaZulu-Natal, Durban, South Africa.
Angela R McLeanThe Institute for Emerging Infections, The Oxford Martin School, Oxford OX1 3BD, UK Department of Zoology, University of Oxford, Oxford OX1 3PS, UK.

Funding

Optimizing CD8+ T-cell responses against C clade HIV infection in subSaharan AfriR01AI046995 · NIAID · UNIVERSITY OF OXFORD · PI GOULDER, PHILIP J · 2000 to 2014
$6.8M
Medical Research CouncilNIAID NIH HHS R01 AI046995Wellcome Trust 104748
6 · The paper itself

Abstract

In HIV-infected patients, an individual's set point viral load (SPVL) strongly predicts disease progression. Some think that SPVL is evolving, indicating that the virulence of the virus may be changing, but the data are not consistent. In addition, the widespread use of antiretroviral therapy (ART) has the potential to drive virulence evolution. We develop a simple deterministic model designed to answer the following questions: what are the expected patterns of virulence change in the initial decades of an epidemic? Could administration of ART drive changes in virulence evolution and, what is the potential size and direction of this effect? We find that even without ART we would not expect monotonic changes in average virulence. Transient decreases in virulence following the peak of an epidemic are not necessarily indicative of eventual evolution to avirulence. In the short term, we would expect widespread ART to cause limited downward pressure on virulence. In the long term, the direction of the effect is determined by a threshold condition, which we define. We conclude that, given the surpassing benefits of ART to the individual and in reducing onward transmission, virulence evolution considerations need have little bearing on how we treat.

Indexed as

Evolution, MolecularHIV-1Anti-Retroviral AgentsHIV InfectionsHumansViral LoadVirulence FactorsAnti-Retroviral AgentsVirulence Factorsantiretroviral therapybetween-host modellingHIV-1set point viral loadvirulence evolution

Identifiers

PMID26609066
PMCPMC4707861

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.