Evidence map›Paper›PMID 36995287›Full record

ArticleSAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance2023

Spatial variations in STIs among women enrolled in HIV prevention clinical trials in Durban, KwaZulu-Natal, South Africa.

Reshmi Dassaye, Handan Wand, Tarylee Reddy, Frank Tanser, Benn Sartorius, Natashia Morris, Gita Ramjee

Open access · goldAbstract read
In one paragraph

Article in SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 4 countries.

Reshmi DassayeHIV and other Infectious Diseases Research Unit, South African Medical Research Council, Durban, South Africa.ORCID 0000-0003-1710-1556
Handan WandKirby Institute, University of New South Wales, Kensington, Australia.
Tarylee ReddyBiostatistics Unit, South African Medical Research Council, Durban, South Africa.
Frank TanserUniversity of Lincoln, Lincoln Institute for Health, Lincoln, UK.
Benn SartoriusFaculty of Infectious and Tropical Diseases (ITD), London School of Hygiene & Tropical Medicine, London, UK.
Natashia MorrisBiostatistics Unit: GIS, South African Medical Research Council, Durban, South Africa.
Gita RamjeeHIV and other Infectious Diseases Research Unit, South African Medical Research Council, Durban, South Africa.
South African Medical Research Council · ZALondon School of Hygiene & Tropical Medicine · GBUniversity of Lincoln · GBUNSW Sydney · AU

Funding

South Africa MRC HIV Prevention Trials UnitU01AI069422 · NIAID · MEDICAL RESEARCH COUNCIL OF SOUTH AFRICA · PI RAMJEE, GITA · 2007 to 2011
$41.9M
University of KwaZulu-Natal - CAPRISA HIV/AIDS Clinical Trials UnitUM1AI069469 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI QUARRAISHA ABDOOL KARIM · 2012 to 2026
$36.4M
SOUTH AFRICA MRC HIV PREVENTION TRIALS UNITU01AI048008 · NIAID · MEDICAL RESEARCH COUNCIL OF SOUTH AFRICA · PI RAMJEE, GITA · 2000 to 2006
$20.5M
NIAID NIH HHS U01 AI048008NIAID NIH HHS U01 AI069422NIAID NIH HHS UM1 AI069469
6 · The paper itself

Abstract

South Africa is faced with a high HIV and STI prevalence and incidence, respectively, with pockets of high burden areas driving these diseases. Localised monitoring of the HIV epidemic and STI endemic would enable more effective targeted prevention strategies. We assessed spatial variations in curable STI incidence among a cohort of women enrolled in HIV prevention clinical trials between 2002 and 2012. STI incidence rates from 7557 South African women enrolled in five HIV prevention trials were geo-mapped using participant household GPS coordinates. Age and period standardised incidence rates were calculated for 43 recruitment areas and Bayesian conditional autoregressive areal spatial regression (CAR) was used to identify significant patterns and spatial patterns of STI infections in recruitment communities. Overall age and period standardised STI incidence rate were estimated as 15 per 100 PY and ranged from 6 to 24 per 100 PY. We identified five significant STI high risk areas with higher-than-expected incidence of STIs located centrally (three-locations) and southern neighbouring areas of Durban (two-locations). Younger age (<25), not married/cohabitating, parity <3 and poor education were all significant correlates of high STI communities. Findings demonstrate sustained STI incidence rates across the greater Durban area. The role of STI incidence in HIV acquisition in high HIV endemic areas need to be revisited as current highly effective PrEP interventions do not protect from STI acquisition. In these settings there is an urgent need for integrative HIV and STI prevention and treatment services.

Indexed as

HIV InfectionsSexually Transmitted DiseasesBayes TheoremFemaleHumansIncidencePregnancyResearch DesignSouth AfricaHIVincidencemappingSouth Africaspatial epidemiologySTI

Identifiers

PMID36995287
PMCPMC10064823
OpenAlexW4361253044

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.