Evidence map›Paper›PMID 29237762›Full record

ArticleScience translational medicine2017

Effect of population viral load on prospective HIV incidence in a hyperendemic rural African community.

Frank Tanser, Alain Vandormael, Diego Cuadros, Andrew N Phillips, Tulio de Oliveira, Andrew Tomita, Till Bärnighausen, Deenan Pillay

Open access · greenAbstract read
In one paragraph

Article in Science translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  13. Commentary on Quigley et al.Physiotherapy Canada. Physiotherapie Canada · 2024
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1 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

8 authors at 5 institutions in 4 countries.

Frank TanserAfrica Health Research Institute, Durban 4001, South Africa. ftanser@gmail.com.ORCID http://orcid.org/0000-0002-5742-0511
Alain VandormaelAfrica Health Research Institute, Durban 4001, South Africa.
Diego CuadrosDepartment of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45220, USA.
Andrew N PhillipsInstitute for Global Health, University College London, London WC1E 6JB, UK.
Tulio de OliveiraCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban 4001, South Africa.ORCID http://orcid.org/0000-0001-9797-0000
Andrew TomitaAfrica Health Research Institute, Durban 4001, South Africa.
Till BärnighausenAfrica Health Research Institute, Durban 4001, South Africa.ORCID http://orcid.org/0000-0003-2384-4807
Deenan PillayAfrica Health Research Institute, Durban 4001, South Africa.
Africa Health Research Institute · ZACentre for the AIDS Programme of Research in South Africa · ZAHeidelberg University · DEUniversity College London · GBUniversity of Cincinnati · US

Funding

Causal Pathways to population health impact of HIV antiretroviral treatmentR01HD084233 · NICHD · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2015 to 2021
$2.3M
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South AfricaR01AI124389 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI BARNIGHAUSEN, TILL, TANSER, FRANK COURTENEY · 2016 to 2020
$2.1M
NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233Wellcome Trust
6 · The paper itself

Abstract

Monitoring HIV population viral load (PVL) has been advocated as an important means of inferring HIV transmission potential and predicting the future rate of new HIV infections (HIV incidence) in a particular community. However, the relationship between PVL measures and directly measured HIV incidence has not been quantified in any setting and, most importantly, in a hyperendemic sub-Saharan African setting. We assessed this relationship using one of Africa's largest population-based prospective population cohorts in rural KwaZulu-Natal, South Africa in which we followed 8732 HIV-uninfected participants between 2011 and 2015. Despite clear evidence of spatial clustering of high viral loads in some communities, our results demonstrate that PVL metrics derived from aggregation of viral load data only from the HIV-positive members of a particular community did not predict HIV incidence in this typical hyperendemic, rural African population. Only once we used modified PVL measures, which combined viral load information with the underlying spatial variation in the proportion of the population infected (HIV prevalence), did we find a consistently strong relationship with future risk of HIV acquisition. For example, every 1% increase in the overall proportion of a population having detectable virus (PDV

Indexed as

Endemic DiseasesRural PopulationViral LoadAdolescentAdultData CollectionFemaleGeographyHIV InfectionsHumansIncidenceMaleMiddle AgedMultivariate AnalysisProportional Hazards ModelsRisk Factors

Identifiers

PMID29237762
PMCPMC6435884
OpenAlexW2772297987

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.