Evidence map›Paper›PMID 26988426›Full record

ArticleAIDS research and human retroviruses2016

Development and Evaluation of a Modified Fourth-Generation Human Immunodeficiency Virus Enzyme Immunoassay for Cross-Sectional Incidence Estimation in Clade B Populations.

Allison R Kirkpatrick, Eshan U Patel, Connie L Celum, Richard D Moore, Joel N Blankson, Shruti H Mehta, Gregory D Kirk, Joseph B Margolick, Thomas C Quinn, Susan H Eshleman and 1 more

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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.

Allison R Kirkpatrick1 Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Baltimore, Maryland.
Eshan U Patel1 Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Baltimore, Maryland.
Connie L Celum2 Department of Medicine, University of Washington , Seattle, Washington.
Richard D Moore3 Department of Medicine, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Joel N Blankson3 Department of Medicine, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Shruti H Mehta4 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.
Gregory D Kirk4 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.
Joseph B Margolick5 Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.
Thomas C Quinn1 Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Baltimore, Maryland.
Susan H Eshleman6 Department of Pathology, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Oliver Laeyendecker1 Laboratory of Immunoregulation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health , Baltimore, Maryland.

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
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
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
Laboratory and Statistical Development of Cross-Sectional HIV Incidence AssaysR01AI095068 · NIAID · JOHNS HOPKINS UNIVERSITY · PI ESHLEMAN, SUSAN H · 2011 to 2021
$6.6M
Patient-Oriented Research and Mentorship in HIV and Non-Communicable DiseasesK24AI118591 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 2015 to 2019
$766k
NIAID NIH HHS K24 AI118591NIAID NIH HHS R01 AI095068NIAID NIH HHS UM1 AI068613NIDA NIH HHS R01 DA012568NIDA NIH HHS U01 DA036297
6 · The paper itself

Abstract

backgroundAccurate methods for cross-sectional incidence estimation are needed for HIV surveillance and prevention research. We developed an avidity assay based on the fourth-generation Genetic Systems HIV Combo Ag/Ab EIA (Bio-Rad Combo assay) and evaluated its performance. MATERIALS AND

methodsThe Bio-Rad Combo assay was modified incubating samples with and without 0.025 M diethylamine (DEA). The avidity index (AI) was calculated as the ratio of the DEA-treated to untreated result for a specific sample. We analyzed 2,140 samples from 808 individuals from the United States with known duration of HIV infection. The mean duration of recent infection (MDRI) and the false-recent rate (FRR, fraction of samples from individuals known to be infected >2 years misclassified as recent) were calculated for AI cutoffs of 20%-90% for the avidity assay alone and in combination with a viral load assay (VL, limit of detection 400 copies/ml). Factors associated with misclassification of samples collected ≥2 years after infections were also evaluated.

resultsThe MDRI for the Bio-Rad Combo Avidity assay ranged from 50 days using an AI cutoff of 20% to 276 days using an AI cutoff of 90%; the FRR ranged from 0% to 9%. When samples with a VL <400 copies/ml were classified as nonrecent, the FRRs were reduced approximately twofold and the MDRI estimates were reduced by ∼20%. An AI cutoff of 50% provided an MDRI of 135 days with an FRR of 2.1%. All samples from elite suppressors had an AI >80%. In adjusted analysis, viral suppression and low CD4 cell count were significantly associated with misclassification among individuals infected >2 years.

conclusionsThis modified Bio-Rad Combo Avidity assay may be a useful tool for cross-sectional HIV incidence estimation. Further research is needed to evaluate use of this assay in combination with other assays to accurately estimate population-level HIV incidence.

Indexed as

AdultAntibody AffinityAntigen-Antibody ComplexCD4 Lymphocyte CountCross-Sectional StudiesDiethylaminesFemaleHIV-1HIV AntibodiesHIV AntigensHIV InfectionsHumansImmunoenzyme TechniquesIncidenceMaleMiddle AgedAntigen-Antibody ComplexdiethylamineDiethylaminesHIV AntibodiesHIV Antigens

Identifiers

PMID26988426
PMCPMC4971410

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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.