Evidence map›Paper›PMID 28793872›Full record

ArticleBMC infectious diseases2017

Improving ART programme retention and viral suppression are key to maximising impact of treatment as prevention - a modelling study.

Nicky McCreesh, Ioannis Andrianakis, Rebecca N Nsubuga, Mark Strong, Ian Vernon, Trevelyan J McKinley, Jeremy E Oakley, Michael Goldstein, Richard Hayes, Richard G White

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

10 authors.

Nicky McCreeshLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK. Nicky.mccreesh@lshtm.ac.uk.
Ioannis AndrianakisLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Rebecca N NsubugaMRC/UVRI Research Unit on AIDS, P.O. Box 49, Entebbe, Uganda.
Mark StrongSchool of Health and Related Research, The University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
Ian VernonDepartment of Mathematical Sciences, Durham University, Lower Mountjoy, Stockton Road, Durham, DH1 3LE, UK.
Trevelyan J McKinleyCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, Penryn, TR10 9FE, UK.
Jeremy E OakleySchool of Mathematics and Statistics, University of Sheffield, The Hicks Building, Hounsfield Road, Sheffield, S3 7RH, UK.
Michael GoldsteinDepartment of Mathematical Sciences, Durham University, Lower Mountjoy, Stockton Road, Durham, DH1 3LE, UK.
Richard HayesLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Richard G WhiteLondon School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.

Funding

STRENGTHENING WORKPLACE INTERVENTIONS IN SMME'S IN SOUTH AFRICAU2GPS000811 · PS · AURUM INSTITUTE NPC · PI CLARK, DAVE · 2007 to 2011
$75.0M
Biotechnology and Biological Sciences Research Council BB/I012192/1Department of Health PDF-2012-05-258Medical Research Council G0601721Medical Research Council G0802414Medical Research Council MR/J005088/1Medical Research Council MR/K012126/1Medical Research Council MR/N014693/1Medical Research Council MR/P002404/1NCHHSTP CDC HHS U2G PS000811
6 · The paper itself

Abstract

backgroundUNAIDS calls for fewer than 500,000 new HIV infections/year by 2020, with treatment-as-prevention being a key part of their strategy for achieving the target. A better understanding of the contribution to transmission of people at different stages of the care pathway can help focus intervention services at populations where they may have the greatest effect. We investigate this using Uganda as a case study.

methodsAn individual-based HIV/ART model was fitted using history matching. 100 model fits were generated to account for uncertainties in sexual behaviour, HIV epidemiology, and ART coverage up to 2015 in Uganda. A number of different ART scale-up intervention scenarios were simulated between 2016 and 2030. The incidence and proportion of transmission over time from people with primary infection, post-primary ART-naïve infection, and people currently or previously on ART was calculated.

resultsIn all scenarios, the proportion of transmission by ART-naïve people decreases, from 70% (61%-79%) in 2015 to between 23% (15%-40%) and 47% (35%-61%) in 2030. The proportion of transmission by people on ART increases from 7.8% (3.5%-13%) to between 14% (7.0%-24%) and 38% (21%-55%). The proportion of transmission by ART dropouts increases from 22% (15%-33%) to between 31% (23%-43%) and 56% (43%-70%).

conclusionsPeople who are currently or previously on ART are likely to play an increasingly large role in transmission as ART coverage increases in Uganda. Improving retention on ART, and ensuring that people on ART remain virally suppressed, will be key in reducing HIV incidence in Uganda.

Indexed as

Antiretroviral Therapy, Highly ActiveModels, TheoreticalDisease Transmission, InfectiousHIV InfectionsHumansIncidencePatient ComplianceSexual BehaviorUgandaARTHIVRetentionSub-Saharan AfricaTransmissionUganda

Identifiers

PMID28793872
PMCPMC5550990

What OpenQuestion holds

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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.