Evidence map›Paper›PMID 24386116›Full record

ArticlePloS one2013

Performance of a limiting-antigen avidity enzyme immunoassay for cross-sectional estimation of HIV incidence in the United States.

Jacob Konikoff, Ron Brookmeyer, Andrew F Longosz, Matthew M Cousins, Connie Celum, Susan P Buchbinder, George R Seage, Gregory D Kirk, Richard D Moore, Shruti H Mehta and 9 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 12 institutions in 1 country.

Jacob KonikoffDepartment of Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America.
Ron BrookmeyerDepartment of Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America.
Andrew F LongoszNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Matthew M CousinsDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Connie CelumDepartments. of Global Health and Medicine, University of Washington, Seattle, Washington, United States of America.
Susan P BuchbinderBridge HIV, San Francisco Department of Health, San Francisco, California, United States of America.
George R SeageDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Richard D MooreDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Shruti H MehtaDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Joseph B MargolickDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Joelle BrownDepartment of Epidemiology, School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America.
Kenneth H MayerDepartment of Global Health and Population Harvard School of Public Health, Boston, Massachusetts, United States of America.
Beryl A KoblinNew York Blood Center, New York, New York, United States of America.
Jessica E JustmanDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, United States of America.
Sally L HodderDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, United States of America.
Thomas C QuinnNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Susan H EshlemanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Oliver LaeyendeckerNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, United States of America ; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Johns Hopkins University · USUniversity of California, Los Angeles · USNational Institute of Allergy and Infectious Diseases · USColumbia University · USHarvard Global Health Institute · USHarvard University · USJohns Hopkins Medicine · USNational Institutes of Health · USNew York Blood Center · USRutgers New Jersey Medical SchoolSan Francisco Department of Public Health · USUniversity of Washington · US

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
NATURAL HISTORY OF AIDS IN HOMOSEXUAL MENU01AI035040 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DETELS, ROGER, MARTINEZ-MAZA, OTONIEL · 1993 to 2018
$75.2M
University of Pittsburgh Multicenter AIDS Cohort Study (MACS)U01AI035041 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MARTINSON, JEREMY JAMES, RINALDO, CHARLES R · 1993 to 2018
$71.4M
MULTICENTER AIDS COHORT STUDYU01AI035039 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WOLINSKY, STEVEN M · 1993 to 2018
$66.4M
Multicenter Aids Cohort Study- Part B (Baltimore Site)U01AI035042 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T, MARGOLICK, JOSEPH B. · 1993 to 2018
$61.5M
Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Weill Cornell Medicine - Rutgers New Jersey Medical School Clinical Trials UnitUM1AI069419 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI ROY M. GULICK · 2012 to 2026
$44.6M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
Intramural NIH HHSNCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1-RR025005NIAAA NIH HHS R01 AA016893NIAAA NIH HHS R01-AA016893NIAID NIH HHS AI-45202NIAID NIH HHS N01 AI045200NIAID NIH HHS N01-AI35176NIAID NIH HHS N01-AI-45200NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI095068NIAID NIH HHS R01-AI095068NIAID NIH HHS U01 AI035039NIAID NIH HHS U01 AI035040NIAID NIH HHS U01 AI035041NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI035043NIAID NIH HHS U01-AI35039NIAID NIH HHS U01-AI35040NIAID NIH HHS U01-AI35041NIAID NIH HHS U01-AI35042NIAID NIH HHS U01-AI35043NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1-AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1-AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1-AI068619NIAID NIH HHS UM1 AI069419NIAID NIH HHS UM1 AI069470NIDA NIH HHS R01 DA004334NIDA NIH HHS R01 DA011602NIDA NIH HHS R01-DA011602NIDA NIH HHS R01 DA012568NIDA NIH HHS R01-DA-04334NIDA NIH HHS R01-DA12568NIDA NIH HHS U01 DA036297NIGMS NIH HHS T32 GM008752
6 · The paper itself

Abstract

backgroundA limiting antigen avidity enzyme immunoassay (HIV-1 LAg-Avidity assay) was recently developed for cross-sectional HIV incidence estimation. We evaluated the performance of the LAg-Avidity assay alone and in multi-assay algorithms (MAAs) that included other biomarkers. METHODS AND

findingsPerformance of testing algorithms was evaluated using 2,282 samples from individuals in the United States collected 1 month to >8 years after HIV seroconversion. The capacity of selected testing algorithms to accurately estimate incidence was evaluated in three longitudinal cohorts. When used in a single-assay format, the LAg-Avidity assay classified some individuals infected >5 years as assay positive and failed to provide reliable incidence estimates in cohorts that included individuals with long-term infections. We evaluated >500,000 testing algorithms, that included the LAg-Avidity assay alone and MAAs with other biomarkers (BED capture immunoassay [BED-CEIA], BioRad-Avidity assay, HIV viral load, CD4 cell count), varying the assays and assay cutoffs. We identified an optimized 2-assay MAA that included the LAg-Avidity and BioRad-Avidity assays, and an optimized 4-assay MAA that included those assays, as well as HIV viral load and CD4 cell count. The two optimized MAAs classified all 845 samples from individuals infected >5 years as MAA negative and estimated incidence within a year of sample collection. These two MAAs produced incidence estimates that were consistent with those from longitudinal follow-up of cohorts. A comparison of the laboratory assay costs of the MAAs was also performed, and we found that the costs associated with the optimal two assay MAA were substantially less than with the four assay MAA.

conclusionsThe LAg-Avidity assay did not perform well in a single-assay format, regardless of the assay cutoff. MAAs that include the LAg-Avidity and BioRad-Avidity assays, with or without viral load and CD4 cell count, provide accurate incidence estimates.

Indexed as

AlgorithmsAntibody AffinityBiomarkersCD4 Lymphocyte CountCross-Sectional StudiesHIV-1HIV InfectionsHumansImmunoenzyme TechniquesIncidenceUnited StatesViral LoadBiomarkers

Identifiers

PMID24386116
PMCPMC3873916
OpenAlexW2165947792

What OpenQuestion holds

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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.