Evidence map›Paper›PMID 22421243›Full record

ArticleAIDS (London, England)2012

Viral load monitoring of antiretroviral therapy, cohort viral load and HIV transmission in Southern Africa: a mathematical modelling analysis.

Janne Estill, Cindy Aubrière, Matthias Egger, Leigh Johnson, Robin Wood, Daniela Garone, Thomas Gsponer, Gilles Wandeler, Andrew Boulle, Mary-Ann Davies and 3 more

Abstract read
In one paragraph

Article in AIDS (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

13 authors.

Janne EstillInstitute of Social and Preventive Medicine, University of Bern, Switzerland.
Cindy Aubrière
Matthias Egger
Leigh Johnson
Robin Wood
Daniela Garone
Thomas Gsponer
Gilles Wandeler
Andrew Boulle
Mary-Ann Davies
Timothy B Hallett
Olivia Keiser
IeDEA Southern Africa

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS 5U01-AI069924-05NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

objectivesIn low-income settings, treatment failure is often identified using CD4 cell count monitoring. Consequently, patients remain on a failing regimen, resulting in a higher risk of transmission. We investigated the benefit of routine viral load monitoring for reducing HIV transmission.

designMathematical model.

methodsWe developed a stochastic mathematical model representing the course of individual viral load, immunological response and survival in a cohort of 1000 HIV-infected patients receiving antiretroviral therapy (ART) in southern Africa. We calculated cohort viral load (CVL; sum of individual viral loads) and used a mathematical relationship between individual viral load values and transmission probability to estimate the number of new HIV infections. Our model was parameterized with data from the International epidemiologic Databases to Evaluate AIDS Southern African collaboration. Sensitivity analyses were performed to assess the validity of the results in a universal 'test and treat' scenario, wherein patients start ART earlier after HIV infection.

resultsIf CD4 cell count alone was regularly monitored, the CVL was 2.6 × 10 copies/ml and the treated patients transmitted on average 6.3 infections each year. With routine viral load monitoring, both CVL and transmissions were reduced by 31% to 1.7 × 10 copies/ml and 4.3 transmissions, respectively. The relative reduction of 31% between monitoring strategies remained similar for different scenarios.

conclusionAlthough routine viral load monitoring enhances the preventive effect of ART, the provision of ART to everyone in need should remain the highest priority.

Indexed as

Viral LoadAcquired Immunodeficiency SyndromeAfrica, SouthernAlgorithmsAnti-HIV AgentsCD4 Lymphocyte CountCohort StudiesFemaleFollow-Up StudiesHumansMaleModels, TheoreticalPredictive Value of TestsAnti-HIV Agents

Identifiers

PMID22421243
PMCPMC3750130

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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.