Evidence map›Paper›PMID 29492277›Full record

ArticleVirus evolution2016

Evolution of HIV virulence in response to widespread scale up of antiretroviral therapy: a modeling study.

Joshua T Herbeck, John E Mittler, Geoffrey S Gottlieb, Steven M Goodreau, James T Murphy, Anne Cori, Michael Pickles, Christophe Fraser

Open access · goldAbstract read
In one paragraph

Article in Virus evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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

8 authors at 2 institutions in 2 countries.

Joshua T HerbeckInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
John E MittlerInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
Geoffrey S GottliebInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
Steven M GoodreauInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
James T MurphyInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
Anne CoriInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
Michael PicklesInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
Christophe FraserInternational Clinical Research Center, Department of Global Health, University of Washington, Seattle, WA 98104, USA.
National Clinical Research · USImperial College London · GB

Funding

Scientific/Technical CoreP2CHD042828 · NICHD · UNIVERSITY OF WASHINGTON · PI SARA R. CURRAN · 2017 to 2026
$6.3M
Integrated bio-social models for HIV epidemiologyR01AI108490 · NIAID · UNIVERSITY OF WASHINGTON · PI GOODREAU, STEVEN M., HERBECK, JOSHUA T · 2014 to 2018
$3.4M
NIAID NIH HHS R01 AI108490NICHD NIH HHS P2C HD042828
6 · The paper itself

Abstract

There are global increases in the use of HIV antiretroviral therapy (ART), guided by clinical benefits of early ART initiation and the efficacy of treatment as prevention of transmission. Separately, it has been shown theoretically and empirically that HIV virulence can evolve over time; observed virulence levels may reflect an adaptive balance between infected lifespan and per-contact transmission rate. However, the potential effects of widespread ART usage on HIV virulence are unknown. To predict these effects, we used an agent-based stochastic model to simulate evolutionary trends in HIV virulence, using set point viral load as a proxy for virulence. We calibrated our model to prevalence and incidence trends of South Africa. We explored two distinct ART scenarios: (1) ART initiation based on HIV-infected individuals reaching a CD4 count threshold; and (2) ART initiation based on individual time elapsed since HIV infection (a scenario that mimics "universal testing and treatment" (UTT) aspirations). In each case, we considered a range in population uptake of ART. We found that HIV virulence is generally unchanged in scenarios of CD4-based initiation. However, with ART initiation based on time since infection, virulence can increase moderately within several years of ART rollout, under high coverage levels and early treatment initiation (albeit within the context of epidemics that are rapidly decreasing in size). Sensitivity analyses suggested the impact of ART on virulence is relatively insensitive to model calibration. Our modeling study suggests that increasing HIV virulence driven by UTT is likely not a major public health concern, but should be monitored in sentinel surveillance, in a manner similar to transmitted resistance to antiretroviral drugs.

Indexed as

antiretroviral therapyevolutionHIVmodelviral loadvirulence

Identifiers

PMID29492277
PMCPMC5822883
OpenAlexW2950413081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.