Evidence map›Paper›PMID 28590328›Full record

ArticleAIDS (London, England)2017

Sexual partnership age pairings and risk of HIV acquisition in rural South Africa.

Adam Akullian, Anna Bershteyn, Daniel Klein, Alain Vandormael, Till Bärnighausen, Frank Tanser

Abstract read
In one paragraph

Article in AIDS (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  10. Developing HIV risk prediction tools in four African settings.Tropical medicine & international health : TM & IH · 2023
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  13. Review
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  15. The HIV Epidemic in South Africa: Key Findings from 2017 National Population-Based Survey.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Article
  18. Article
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  20. Large age shifts in HIV-1 incidence patterns in KwaZulu-Natal, South Africa.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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

6 authors.

Adam AkullianaInstitute for Disease Modeling, Global Good Fund, Bellevue, Washington, USA bAfrica Health Research Institute, University of KwaZulu-Natal, Mtubatuba, South Africa cInstitute for Public Health, Faculty of Medicine, University of Heidelberg, Heidelberg, Germany dDepartment of Infection and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK.
Anna Bershteyn
Daniel Klein
Alain Vandormael
Till Bärnighausen
Frank Tanser

Funding

Training Tanzanian Researchers for HIV/AIDS Implementation ScienceD43TW009775 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, Christopher Sudfeld · 2015 to 2026
$3.0M
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
FIC NIH HHS D43 TW009775NIAID NIH HHS R01 AI124389NICHD NIH HHS R01 HD084233Wellcome Trust
6 · The paper itself

Abstract

objectiveTo quantify the contribution of specific sexual partner age groups to the risk of HIV acquisition in men and women in a hyperendemic region of South Africa.

designWe conducted a population-based cohort study among women (15-49 years of age) and men (15-55 years of age) between 2004 and 2015 in KwaZulu-Natal, South Africa.

methodsGeneralized additive models were used to estimate smoothed HIV incidence rates across partnership age pairings in men and women. Cox proportional hazards regression was used to estimate the relative risk of HIV acquisition by partner age group.

resultsA total of 882 HIV seroconversions were observed in 15 935 person-years for women, incidence rate = 5.5 per 100 person-years [95% confidence interval (CI), 5.2-5.9] and 270 HIV seroconversions were observed in 9372 person-years for men, incidence rate = 2.9 per 100 person-years (95% CI, 2.6-3.2). HIV incidence was highest among 15-24-year-old women reporting partnerships with 30-34-year-old men, incidence rate = 9.7 per 100 person-years (95% CI, 7.2-13.1). Risk of HIV acquisition in women was associated with male partners aged 25-29 years (adjusted hazard ratio; aHR = 1.44, 95% CI, 1.02-2.04) and 30-34 years (aHR = 1.50, 95% CI, 1.08-2.09) relative to male partners aged 35 and above. Risk of HIV acquisition in men was associated with 25-29-year-old (aHR = 1.72, 95% CI, 1.02-2.90) and 30-34-year-old women (aHR = 2.12, 95% CI, 1.03-4.39) compared to partnerships with women aged 15-19 years.

conclusionAge of sexual partner is a major risk factor for HIV acquisition in both men and women, independent of one's own age. Partner age pairings play a critical role in driving the cycle of HIV transmission.

Indexed as

Sexual PartnersAdolescentAdultAge FactorsCohort StudiesFemaleHIV InfectionsHumansIncidenceMaleMiddle AgedRisk AssessmentRural PopulationSouth AfricaYoung Adult

Identifiers

PMID28590328
PMCPMC5508850

What OpenQuestion holds

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Registered trials

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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.