Evidence map›Paper›PMID 26562811›Full record

ArticleAIDS (London, England)2015

Targeted screening of at-risk adults for acute HIV-1 infection in sub-Saharan Africa.

Eduard J Sanders, Elizabeth Wahome, Kimberly A Powers, Lisa Werner, Greg Fegan, Ludo Lavreys, Clement Mapanje, R Scott McClelland, Nigel Garrett, William C Miller and 1 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in AIDS (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 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

11 authors at 6 institutions in 6 countries.

Eduard J SandersaCentre for Geographic Medicine Research - Coast, Kenya Medical Research Institute (KEMRI) - Kilifi, Kenya bNuffield Department of Medicine, University of Oxford, Headington, UK cDepartment of Global Health, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands dDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA eCentre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, Durban, South Africa fMaisha Consulting bvba, Tildonk, Belgium gUNC Project Malawi, Lilongwe, Malawi hDepartments of Medicine, Global Health, and Epidemiology, University of Washington, Seattle, Washington iDepartment of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Elizabeth Wahome
Kimberly A Powers
Lisa Werner
Greg Fegan
Ludo Lavreys
Clement Mapanje
R Scott McClelland
Nigel Garrett
William C Miller
Susan M Graham
Kenya Medical Research Institute · KEUniversity of KwaZulu-Natal · ZAUniversity of North Carolina at Chapel Hill · USDH Consultancy BVBA (Belgium) · BEUniversity of Oxford · GBUniversity of Washington · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Judith Tsui · 1988 to 2026
$104.9M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
Trichomonas Typing SystemU19AI031496 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SPARLING, PHILIP FREDERICK · 1995 to 2014
$24.9M
The Viral Set Point in HIV-1 Subtype C InfectionU19AI051794 · NIAID · UNIVERSITY OF KWAZULU-NATAL · PI ABDOOL KARIM, SALIM S · 2002 to 2007
$22.5M
EARLY INFECTION IN WOMEN EXPOSED MUCOSALLY TO HIV-1R37AI038518 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OVERBAUGH, JULIE M. · 1999 to 2019
$12.9M
Training in Sexually Transmitted Infections and HIVT32AI007001 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SENA-SOBERANO, ARLENE C. · 1985 to 2025
$10.9M
AIDS INTERNATIONAL TRAINING AND RESEARCH PROGRAMD43TW001039 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADIMORA, ADAORA A · 1998 to 2013
$9.9M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
HIV IN SEMEN-EFFECTS OF STDS AND ANTIVIRAL THERAPYR37DK049381 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, MYRON SCOTT · 2005 to 2014
$3.4M
Reaching Unaware Sexual and Social Contacts to Interrupt Ongoing HIV TransmissionR01AI114320 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MILLER, WILLIAM C, POWERS, KIMBERLY A · 2014 to 2017
$2.5M
Targeting Acute HIVR01MH068686 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PILCHER, CHRISTOPHER D · 2003 to 2007
$1.6M
Provider and Peer Support Intervention to Improve ART Adherence among Kenyan MenR34MH099946 · NIMH · UNIVERSITY OF WASHINGTON · PI GRAHAM, SUSAN MARIE · 2013 to 2015
$627k
FIC NIH HHS D43 TW001039NCATS NIH HHS KL2 TR001109NIAID NIH HHS F30 AI131496NIAID NIH HHS K23 AI001781NIAID NIH HHS P30 AI027757NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI114320NIAID NIH HHS R37 AI038518NIAID NIH HHS T32 AI007001NIAID NIH HHS U19 AI031496NIAID NIH HHS U19 AI051794NIDDK NIH HHS R37 DK049381NIMH NIH HHS 5R34MH099946NIMH NIH HHS R01 MH068686NIMH NIH HHS R34 MH099946Wellcome Trust 077092Wellcome Trust 092654
6 · The paper itself

Abstract

backgroundPatients with acute HIV-1 infection (AHI) have elevated infectivity, but cannot be diagnosed using antibody-based testing. Approaches to screen patients for AHI are urgently needed to enable counselling and treatment to reduce onward transmission.

methodsWe pooled data from four African studies of high-risk adults that evaluated symptoms and signs compatible with acute retroviral syndrome and tested for HIV-1 at each visit. AHI was defined as detectable plasma viral load or p24 antigen in an HIV-1-antibody-negative patient who subsequently seroconverted. Using generalized estimating equation, we identified symptoms, signs, and demographic factors predictive of AHI, adjusting for study site. We assigned a predictor score to each statistically significant predictor based on its beta coefficient, summing predictor scores to calculate a risk score for each participant. We evaluated the performance of this algorithm overall and at each site.

resultsWe compared 122 AHI visits with 45 961 visits by uninfected patients. Younger age (18-29 years), fever, fatigue, body pains, diarrhoea, sore throat, and genital ulcer disease were independent predictors of AHI. The overall area under the receiver operating characteristics curve (AUC) for the algorithm was 0.78, with site-specific AUCs ranging from 0.61 to 0.89. A risk score of at least 2 would indicate AHI testing for 5-50% of participants, substantially decreasing the number needing testing.

conclusionOur targeted risk score algorithm based on seven characteristics reduced the number of patients needing AHI testing and had good performance overall. We recommend this risk score algorithm for use by HIV programs in sub-Saharan Africa with capacity to test high-risk patients for AHI.

Indexed as

Acute DiseaseAdolescentAdultAfrica South of the SaharaAlgorithmsFemaleHIV-1HIV Core Protein p24HIV InfectionsHumansMaleMass ScreeningRetrospective StudiesRisk FactorsViral LoadYoung AdultHIV Core Protein p24

Identifiers

PMID26562811
PMCPMC4714928
OpenAlexW2255128547

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.