Evidence map›Paper›PMID 17878928›Full record

ArticlePloS one2007

Potential impact of antiretroviral chemoprophylaxis on HIV-1 transmission in resource-limited settings.

Ume L Abbas, Roy M Anderson, John W Mellors

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02611362 (A Multilevel Gaming Intervention for Persons on PrEP), which is not on this map. Cited by 89 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 3 pooled it
–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.

NCT02611362 nacompletednot on this mapstarted 2015, after this paper: background citation

A Multilevel Gaming Intervention for Persons on PrEP

TypeinterventionalSponsorRhode Island HospitalRan2015 to 2019Enrolled82ConditionsMSM, PrEP, HIV RiskArmsIMB Gaming Intervention
3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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29 more citing papers are in PubMed but not listed here.

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.

Ume L AbbasDivision of Infectious Diseases, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America. abbasu@dom.pitt.edu
Roy M Anderson
John W Mellors

Funding

WOMEN'S HEALTH AGENDAU01AI038858 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI BENSON, CONSTANCE ANN · 1996 to 2008
$157.5M
Microbicide Trials NetworkU01AI068633 · NIAID · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI HILLIER, SHARON L. · 2006 to 2010
$77.0M
Impact of Antiretrovirals on the Spread of HIVR21AI064092 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ABBAS, UME L · 2005 to 2006
$404k
NIAID NIH HHS R21 AI064092NIAID NIH HHS R21AI064092NIAID NIH HHS U01 AI038858NIAID NIH HHS U01 AI068633NIAID NIH HHS U01AI068633NIAID NIH HHS U01AI38858Wellcome Trust
6 · The paper itself

Abstract

backgroundThe potential impact of pre-exposure chemoprophylaxis (PrEP) on heterosexual transmission of HIV-1 infection in resource-limited settings is uncertain. METHODOLOGY/PRINCIPLE

findingsA deterministic mathematical model was used to simulate the effects of antiretroviral PrEP on an HIV-1 epidemic in sub-Saharan Africa under different scenarios (optimistic, neutral and pessimistic) both with and without sexual disinhibition. Sensitivity analyses were used to evaluate the effect of uncertainty in input parameters on model output and included calculation of partial rank correlations and standardized rank regressions. In the scenario without sexual disinhibition after PrEP initiation, key parameters influencing infections prevented were effectiveness of PrEP (partial rank correlation coefficient (PRCC) = 0.94), PrEP discontinuation rate (PRCC = -0.94), level of coverage (PRCC = 0.92), and time to achieve target coverage (PRCC = -0.82). In the scenario with sexual disinhibition, PrEP effectiveness and the extent of sexual disinhibition had the greatest impact on prevention. An optimistic scenario of PrEP with 90% effectiveness and 75% coverage of the general population predicted a 74% decline in cumulative HIV-1 infections after 10 years, and a 28.8% decline with PrEP targeted to the highest risk groups (16% of the population). Even with a 100% increase in at-risk behavior from sexual disinhibition, a beneficial effect (23.4%-62.7% decrease in infections) was seen with 90% effective PrEP across a broad range of coverage (25%-75%). Similar disinhibition led to a rise in infections with lower effectiveness of PrEP (< or = 50%). CONCLUSIONS/SIGNIFICANCE: Mathematical modeling supports the potential public health benefit of PrEP. Approximately 2.7 to 3.2 million new HIV-1 infections could be averted in southern sub-Saharan Africa over 10 years by targeting PrEP (having 90% effectiveness) to those at highest behavioral risk and by preventing sexual disinhibition. This benefit could be lost, however, by sexual disinhibition and by high PrEP discontinuation, especially with lower PrEP effectiveness (< or = 50%).

Indexed as

Health Care RationingAnti-HIV AgentsDeveloping CountriesDrug Resistance, ViralHIV-1HIV InfectionsHIV SeroprevalenceHumansAnti-HIV Agents

Identifiers

PMID17878928
PMCPMC1975470

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.