Evidence map›Paper›PMID 32701820›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Age-Specific Risk Scores Do Not Improve HIV-1 Prediction Among Women in South Africa.

Kathryn Peebles, Thesla Palanee-Phillips, Jennifer E Balkus, Ivana Beesham, Heeran Makkan, Jennifer Deese, Jennifer Smit, Renee Heffron, Charles S Morrison, Neena M Philip and 11 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Predicting the Risk of Human Immunodeficiency Virus Type 1 (HIV-1) Acquisition in Rural South Africa Using Geospatial Data.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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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

21 authors.

Kathryn PeeblesDepartment of Epidemiology, University of Washington, Seattle, WA.
Thesla Palanee-PhillipsWits Reproductive Health and HIV Institute, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Jennifer E BalkusDepartment of Epidemiology, University of Washington, Seattle, WA.
Ivana BeeshamMatCH Research Unit (MRU), Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of the Witwatersrand, Durban, South Africa.
Heeran MakkanClinical Research Division, The Aurum Institute, Johannesburg, South Africa.
Jennifer DeeseGlobal Health, Population and Nutrition, FHI 360, Durham, NC.
Jennifer SmitMatCH Research Unit (MRU), Department of Obstetrics and Gynaecology, Faculty of Health Sciences, University of the Witwatersrand, Durban, South Africa.
Renee HeffronDepartment of Epidemiology, University of Washington, Seattle, WA.
Charles S MorrisonGlobal Health, Population and Nutrition, FHI 360, Durham, NC.
Neena M PhilipICAP at Columbia University, Mailman School of Public Health, New York, NY.
Mookho MalahlehaSetshaba Research Centre, Tshwane City, South Africa.
Margaret KasaroUniversity of North Carolina, Global Projects Zambia, Lusaka, Zambia.
Yuthika NaidooWits Reproductive Health and HIV Institute, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Tanya NielsonClinical Research Division, The Aurum Institute, Johannesburg, South Africa.
Krishnaveni ReddyWits Reproductive Health and HIV Institute, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Philip KotzeQhakaza Mbokodo Research Clinic, Ladysmith, South Africa; and.
Khatija AhmedSetshaba Research Centre, Tshwane City, South Africa.
Helen ReesWits Reproductive Health and HIV Institute, School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa.
Jared M BaetenDepartment of Epidemiology, University of Washington, Seattle, WA.
Ruanne V BarnabasDepartment of Epidemiology, University of Washington, Seattle, WA.
Evidence for Contraceptive Options and HIV Outcomes (ECHO) Trial Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV-1 risk scoring tools could help target provision of prevention modalities such as pre-exposure prophylaxis. Recent research suggests that risk scores for women aged 18-45 may not predict risk well among young women aged 18-24. We evaluated the predictive performance of age-specific risk scores compared with the existing non-age-specific VOICE risk score, developed for women aged 18-45.

methodsWe conducted a secondary analysis of the Evidence for Contraceptive Options and HIV Outcomes Trial to develop and internally validate HIV-1 risk scores for women aged 18-24 and 25-35 in South Africa. Candidate predictors included baseline demographic, clinical, behavioral, and contextual characteristics readily available in clinical settings. The VOICE risk score was applied to women aged 18-35. We evaluated predictive performance of each risk score by area under the receiver operating characteristic curve (AUC).

resultsPredictive performance of all risk scores was moderate, with AUC (95% confidence interval) of 0.64 (0.60 to 0.67) among women aged 18-24, 0.68 (0.62 to 0.73) among those aged 25-35, and 0.61 (0.58 to 0.65) for the VOICE risk score applied to women aged 18-35; The AUC was similar in internal validation. Among women aged 18-24, HIV-1 incidence was high even at low risk scores, at 3.9 per 100 person-years (95% confidence interval: 3.2 to 4.7).

conclusionsAll risk scores were moderately predictive of HIV-1 acquisition, and age-specific risk scores performed only marginally better than the VOICE non-age-specific risk score. Approaches for targeted pre-exposure prophylaxis provision to women in South Africa may require more extensive data than are currently available to improve prediction.

Indexed as

HIV-1AdolescentAdultAge FactorsFemaleHIV InfectionsHumansRisk AssessmentRisk FactorsSouth AfricaYoung Adult

Identifiers

PMID32701820
PMCPMC7495976

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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.