Evidence map›Paper›PMID 23222513›Full record

SynthesisEpidemiology (Cambridge, Mass.)2013

Heterosexual HIV-1 infectiousness and antiretroviral use: systematic review of prospective studies of discordant couples.

Rebecca F Baggaley, Richard G White, T Déirdre Hollingsworth, Marie-Claude Boily

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Epidemiology (Cambridge, Mass.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 9 pooled it
5.9field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 9 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Risk of sexual transmission of human immunodeficiency virus with antiretroviral therapy, suppressed viral load and condom use: a systematic review.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
    Pooled it
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  6. Heterosexual risk of HIV transmission per sexual act under combined antiretroviral therapy: systematic review and bayesian modeling.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2014
    Pooled it
  7. Pooled it
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  9. Trichomoniasis and HIV interactions: a review.Sexually transmitted infections · 2013
    Pooled it
  10. Trial
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  12. Article
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  17. Frontiers in reproductive health · 2020
    Article
  18. Development and Calibration of a Dynamic HIV Transmission Model for 6 US Cities.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Rebecca F BaggaleyDepartment of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, United Kingdom. r.baggaley@imperial.ac.uk
Richard G White
T Déirdre Hollingsworth
Marie-Claude Boily
Imperial College London · GB

Funding

Medical Research Council G0802414Wellcome Trust 082623Wellcome Trust WT082623MA
6 · The paper itself

Abstract

backgroundRecent studies have estimated the reduction in HIV-1 infectiousness with antiretroviral therapy (ART), but high-quality studies such as randomized controlled trials, accompanied by rigorous adherence counseling, are likely to overestimate the effectiveness of treatment-as-prevention in real-life settings.

methodsWe attempted to summarize the effect of ART on HIV transmission by undertaking a systematic review and meta-analysis of HIV-1 infectiousness per heterosexual partnership (incidence rate and cumulative incidence over study follow-up) estimated from prospective studies of discordant couples. We used random-effects Poisson regression models to obtain summary estimates. When possible, the analyses were further stratified by direction of transmission (man-to-woman or woman-to-man) and economic setting (high- or low-income countries). Potential causes of heterogeneity of estimates were explored through subgroup analyses.

resultsFifty publications were included. Nine allowed comparison between ART and non-ART users within studies (ART-stratified studies), in which summary incidence rates were 3.6/100 person-years (95% confidence interval = 2.0-6.5) and 0.2/100 person-years (0.07-0.7) for non-ART- and ART-using couples, respectively (P < 0.001), constituting a 91% (79-96%) reduction in per-partner HIV-1 incidence rate with ART use. The 41 studies that did not stratify by ART use provided estimates with high levels of heterogeneity (I statistic) and few reported levels of ART use, making interpretation difficult. Nevertheless, estimates tended to be lower with ART use. Infectiousness tended to be higher for low-income than high-income settings, but there was no clear pattern by direction of transmission (man-to-woman and woman-to-man).

conclusionsART substantially reduces HIV-1 infectiousness within discordant couples, based on observational studies, and could play a major part in HIV-1 prevention efforts. However, the non-zero risk from partners receiving ART demonstrates that appropriate counseling and other risk-reduction strategies for discordant couples are still required. Additional estimates of ART effectiveness by adherence level from real-life settings will be important, especially for persons starting treatment early without symptoms.

Indexed as

HeterosexualityHIV-1Anti-HIV AgentsDeveloped CountriesDeveloping CountriesFemaleHIV InfectionsHumansMaleModels, StatisticalPoisson DistributionRegression AnalysisAnti-HIV Agents

Identifiers

PMID23222513
PMCPMC4312663
OpenAlexW1981618969

What OpenQuestion holds

Textmetadata
LicenceTDM
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.