Evidence map›Paper›PMID 24513567›Full record

ArticleAIDS (London, England)2014

Incorrect identification of recent HIV infection in adults in the United States using a limiting-antigen avidity assay.

Andrew F Longosz, Shruti H Mehta, Gregory D Kirk, Joseph B Margolick, Joelle Brown, Thomas C Quinn, Susan H Eshleman, Oliver Laeyendecker

Abstract readMulticenter Study
In one paragraph

Article in AIDS (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.1field-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

36 citing papers in PubMed, 43 citations in OpenAlex.

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  13. Cross-Sectional HIV Incidence Estimation with Missing Biomarkers.Statistical communications in infectious diseases · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Andrew F LongoszaLaboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, NIH bDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health cDepartment of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland dDepartment of Epidemiology, School of Public Health, University of California at Los Angeles, Los Angeles, California eDepartment of Medicine fDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Shruti H Mehta
Gregory D Kirk
Joseph B Margolick
Joelle Brown
Thomas C Quinn
Susan H Eshleman
Oliver Laeyendecker
Johns Hopkins University · USNational Institute of Allergy and Infectious Diseases · USJohns Hopkins Medicine · USUniversity of California, Los Angeles · US

Funding

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
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
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
Center for the Analysis & Management of the Multicenter AIDS Cohort StudyUM1AI035043 · NIAID · JOHNS HOPKINS UNIVERSITY · PI D'SOUZA, GYPSYAMBER, JACOBSON, LISA P · 2012 to 2018
$20.7M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
INCIDENCE OF HIV INFECTIONS IN A COHORT OF IV DRUG USERSR01DA012568 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, SHRUTI H · 1999 to 2017
$15.5M
ARV effects on HIV epidemiology &behaviors Rakai UgandaR01HD050180 · NICHD · JOHNS HOPKINS UNIVERSITY · PI WAWER, MARIA J · 2005 to 2009
$7.8M
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
Natural History of HIV Infection In Injection Drug UsersR56DA004334 · NIDA · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 2012 to 2013
$3.2M
Estimation of Intervention Effects in Influenza OutbreaksK22AI092150 · NIAID · JOHNS HOPKINS UNIVERSITY · PI LESSLER, JUSTIN · 2011 to 2012
$270k
Intramural NIH HHS Z99 AI999999NIAID NIH HHS K22 AI092150NIAID NIH HHS K22-AI092150-01NIAID NIH HHS R01 AI095068NIAID NIH HHS U01 AI035042NIAID NIH HHS U01 AI35042-21NIAID NIH HHS UM1 AI035043NIAID NIH HHS UM1 AI068613NICHD NIH HHS R01 HD050180NICHD NIH HHS R01-HD050180NIDA NIH HHS 2R56DA004334-27NIDA NIH HHS R01 DA012568NIDA NIH HHS R56 DA004334NIDA NIH HHS U01 DA036297PHS HHS R01-A134265PHS HHS R01-A134826
6 · The paper itself

Abstract

objectivesTo evaluate factors associated with misclassification by the limiting-antigen avidity (LAg-avidity) assay among individuals with long-standing HIV infection.

designSamples were obtained from the Multicenter AIDS Cohort Study and AIDS Linked to the IntraVenous Experience cohort (1089 samples from 667 individuals, 595 samples collected 2-4 years and 494 samples collected 4-8 years after HIV seroconversion). Paired samples from both time points were available for 422 (63.3%) of the 667 individuals.

methodsSamples were considered to be misclassified if the LAg-avidity assay result was 1.5 or less normalized optical density (OD-n) units.

resultsOverall, 4.8% (52/1089) of the samples were misclassified, including 1.8% [16/884, 95% confidence interval (CI) 1.09-3.06%] of samples from individuals with viral loads above 400 copies/ml and 1.4% (10/705) of samples from individuals with viral loads above 400 copies/ml and CD4 cell counts above 200 cells/μl (95% CI 0.68-2.60%). Age, race, sex, and mode of HIV acquisition were not associated with misclassification. In an adjusted analysis, viral load below 400 copies/ml [adjusted odds ratio (aOR) 3.72, 95% CI 1.61-8.57], CD4 cell count below 50 cells/μl (aOR 5.41, 95% CI 1.86-15.74), and low LAg-avidity result (≤1.5 OD-n) from the earlier time point (aOR 5.60, 95% CI 1.55-20.25) were significantly associated with misclassification.

conclusionsThe manufacturer of the LAg-avidity assay recommends excluding individuals from incidence surveys who are receiving antiretroviral therapy, are elite suppressors, or have AIDS (CD4 cell count <200 cells/μl). The results of this study indicate that those exclusions do not remove all sources of assay misclassification among individuals with long-standing HIV infection.

Indexed as

AdultAgedAntibody AffinityCD4 Lymphocyte CountFemaleHIV InfectionsHumansImmunoassayIncidenceMaleMiddle AgedUnited StatesViral LoadYoung Adult

Identifiers

PMID24513567
PMCPMC4102639
OpenAlexW2325323852

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.