Evidence map›Paper›PMID 27104835›Full record

ArticlePloS one2016

Individual and Population Level Impact of Key HIV Risk Factors on HIV Incidence Rates in Durban, South Africa.

Gita Ramjee, Suri Moonsamy, Nathlee Samantha Abbai, Handan Wand

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

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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

4 authors at 2 institutions in 4 countries.

Gita RamjeeHIV Prevention Research Unit, Medical Research Council, Durban, South Africa.
Suri MoonsamyHIV Prevention Research Unit, Medical Research Council, Durban, South Africa.
Nathlee Samantha AbbaiHIV Prevention Research Unit, Medical Research Council, Durban, South Africa.
Handan WandNational Center for HIV Epidemiology and Clinical Research, Sydney, Australia.
South African Medical Research Council · ZANational Centre for Clinical Research on Emerging Drugs · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to estimate the individual and joint impact of age, marital status and diagnosis with sexually transmitted infections (STIs) on HIV acquisition among young women at a population level in Durban, KwaZulu-Natal, South Africa. A total of 3,978 HIV seronegative women were recruited for four biomedical intervention trials from 2002-2009. Point and interval estimates of partial population attributable risk (PAR) were used to quantify the proportion of HIV seroconversions which can be prevented if a combination of risk factors is eliminated from a target population. More than 70% of the observed HIV acquisitions were collectively attributed to the three risk factors: younger age (<25 years old), unmarried and not cohabiting with a stable/regular partner and diagnosis with STIs. Addressing these risks requires targeted structural, behavioural, biomedical and cultural interventions in order to impact on unacceptably high HIV incidence rates among young women and the population as a whole.

Indexed as

AdultFemaleHIV InfectionsHumansIncidenceRisk FactorsSouth Africa

Identifiers

PMID27104835
PMCPMC4841582
OpenAlexW2336358985

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.