Evidence map›Paper›PMID 35419667›Full record

ArticleAIDS and behavior2022

Age-Restriction of a Validated Risk Scoring Tool Better Predicts HIV Acquisition in South African Women: CAPRISA 004.

Delivette Castor, Emma K Burgess, Nonhlanhla Yende-Zuma, Craig J Heck, Quarraisha Abdool Karim

Open access · hybridAbstract read
In one paragraph

Article in AIDS and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

5 authors at 3 institutions in 2 countries.

Delivette Castor *Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-0988-9489
Emma K Burgess *Independent Consultant, Toronto, Canada.
Nonhlanhla Yende-ZumaCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Private Bag X7, Congella, Durban, 4013, South Africa.
Craig J HeckDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Quarraisha Abdool KarimCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Private Bag X7, Congella, Durban, 4013, South Africa. Quarraisha.AbdoolKarim@caprisa.org.
Centre for the AIDS Programme of Research in South Africa · ZAColumbia University · USColumbia University Irving Medical Center · US

Funding

Global HIV Implementation Science Research Training Grant RenewalT32AI114398 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Yael R Hirsch-Moverman · 2014 to 2026
$4.1M
National Institute of Allergy and Infectious Diseases T32AI114398NIAID NIH HHS T32 AI114398USAID GPO-A-00-05-00022-00
6 · The paper itself

Abstract

We examined the predictive ability of the VOICE risk screening tool among adolescent girls and young women at heightened HIV risk in urban and peri-urban Kwa-Zulu-Natal, South Africa. Using participant data from CAPRISA 004's control arm (N = 444), we applied the initial VOICE risk screening score (IRS), a modified risk score (MRS) based on predictive and non-predictive variables in our data, and age-restricted (AIRS and AMRS, respectively). We estimated incidence rates, 95% confidence bounds, sensitivity, specificity, negative and positive predictive values and area under the curve (AUC). The sample's HIV incidence rate was 9.1/100 Person-Years [95% CI 6.9-11.7], resulting from 60 seroconversions (60/660.7 Person-Years). The IRS' ≥ 8 cutpoint produced moderate discrimination [AUC = 0.66 (0.54-0.74), sensitivity = 63%, specificity = 57%]. Restricting to age < 25 years improved the score's predictive ability (AIRS: AUC = 0.69, AMRS: AUC = 0.70), owing mainly to male partner having other partners and HSV-2. The risk tool predicted HIV acquisition at a higher cutpoint in this sample than in the initial VOICE analysis. After age-stratification, fewer variables were needed for maintaining score's predictiveness. In this high incidence setting, risk screening may still improve the efficiency or effectiveness of prevention counseling services. However, PrEP should be offered to all prevention-seeking individuals, regardless of risk ascertainment.

Indexed as

HIV InfectionsAdolescentAdultFemaleHerpesvirus 2, HumanHumansIncidenceMaleRisk FactorsSouth AfricaHIVPrEPPreventionRisk ScoreSouth Africa

Identifiers

PMID35419667
PMCPMC9474358
OpenAlexW4224028884

What OpenQuestion holds

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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.