Evidence map›Paper›PMID 22807657›Full record

ReviewPLoS medicine2012

HIV treatment as prevention: considerations in the design, conduct, and analysis of cluster randomized controlled trials of combination HIV prevention.

Marie-Claude Boily, Benoît Mâsse, Ramzi Alsallaq, Nancy S Padian, Jeffrey W Eaton, Juan F Vesga, Timothy B Hallett

Abstract readReview
In one paragraph

Review in PLoS medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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.

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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Antiretroviral Therapy for the Prevention of HIV-1 Transmission.The New England journal of medicine · 2016
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  7. A Game Theoretic Analysis of Competition Between Vaccine and Drug Companies during Disease Contraction and Recovery.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
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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

7 authors.

Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK. mc.boily@imperial.ac.uk
Benoît Mâsse
Ramzi Alsallaq
Nancy S Padian
Jeffrey W Eaton
Juan F Vesga
Timothy B Hallett

Funding

Medical Research Council G0600719Wellcome Trust
6 · The paper itself

Abstract

The rigorous evaluation of the impact of combination HIV prevention packages at the population level will be critical for the future of HIV prevention. In this review, we discuss important considerations for the design and interpretation of cluster randomized controlled trials (C-RCTs) of combination prevention interventions. We focus on three large C-RCTs that will start soon and are designed to test the hypothesis that combination prevention packages, including expanded access to antiretroviral therapy, can substantially reduce HIV incidence. Using a general framework to integrate mathematical modelling analysis into the design, conduct, and analysis of C-RCTs will complement traditional statistical analyses and strengthen the evaluation of the interventions. Importantly, even with combination interventions, it may be challenging to substantially reduce HIV incidence over the 2- to 3-y duration of a C-RCT, unless interventions are scaled up rapidly and key populations are reached. Thus, we propose the innovative use of mathematical modelling to conduct interim analyses, when interim HIV incidence data are not available, to allow the ongoing trials to be modified or adapted to reduce the likelihood of inconclusive outcomes. The preplanned, interactive use of mathematical models during C-RCTs will also provide a valuable opportunity to validate and refine model projections.

Indexed as

Randomized Controlled Trials as TopicAnti-HIV AgentsCluster AnalysisDrug Therapy, CombinationHIV InfectionsHumansModels, BiologicalAnti-HIV Agents

Identifiers

PMID22807657
PMCPMC3393676

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.