Evidence map›Paper›PMID 25313068›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Why the proportion of transmission during early-stage HIV infection does not predict the long-term impact of treatment on HIV incidence.

Jeffrey W Eaton, Timothy B Hallett

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
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  7. Speed and strength of an epidemic intervention.Proceedings. Biological sciences · 2021
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  16. The missing 27.AIDS (London, England) · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jeffrey W EatonDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Hospital, London W2 1PG, United Kingdom jeffrey.eaton@imperial.ac.uk.ORCID http://orcid.org/0000-0001-7728-728X
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, St Mary's Hospital, London W2 1PG, United Kingdom.

Funding

Medical Research Council MR/K010174/1
6 · The paper itself

Abstract

Antiretroviral therapy (ART) reduces the infectiousness of HIV-infected persons, but only after testing, linkage to care, and successful viral suppression. Thus, a large proportion of HIV transmission during a period of high infectiousness in the first few months after infection ("early transmission") is perceived as a threat to the impact of HIV "treatment-as-prevention" strategies. We created a mathematical model of a heterosexual HIV epidemic to investigate how the proportion of early transmission affects the impact of ART on reducing HIV incidence. The model includes stages of HIV infection, flexible sexual mixing, and changes in risk behavior over the epidemic. The model was calibrated to HIV prevalence data from South Africa using a Bayesian framework. Immediately after ART was introduced, more early transmission was associated with a smaller reduction in HIV incidence rate--consistent with the concern that a large amount of early transmission reduces the impact of treatment on incidence. However, the proportion of early transmission was not strongly related to the long-term reduction in incidence. This was because more early transmission resulted in a shorter generation time, in which case lower values for the basic reproductive number (R0) are consistent with observed epidemic growth, and R0 was negatively correlated with long-term intervention impact. The fraction of early transmission depends on biological factors, behavioral patterns, and epidemic stage and alone does not predict long-term intervention impacts. However, early transmission may be an important determinant in the outcome of short-term trials and evaluation of programs.

Indexed as

EpidemicsHIV-1Models, BiologicalAdolescentAdultAnti-Retroviral AgentsFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedPrevalenceRisk-TakingAnti-Retroviral Agentsantiretroviral therapyearly infectionHIV incidenceHIV prevention interventionmathematical model

Identifiers

PMID25313068
PMCPMC4234601

What OpenQuestion holds

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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.