Evidence map›Paper›PMID 36173112›Full record

ArticlemSphere2022

Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence.

Cheryl N Miller, Keri N Althoff, David J Schlueter, Hoda Anton-Culver, Qingxia Chen, Shawn Garbett, Francis Ratsimbazafy, Isaac Thomsen, Elizabeth W Karlson, Mine Cicek and 10 more

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

20 authors at 9 institutions in 1 country.

Cheryl N Miller *Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.ORCID 0000-0003-3665-704X
Keri N Althoff *Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
David J SchlueterNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA.
Hoda Anton-CulverDepartment of Medicine, School of Medicine, University of California, Irvine, Irvine, California, USA.
Qingxia ChenDepartment of Biomedical Informatics, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Shawn GarbettDepartment of Biomedical Informatics, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Francis RatsimbazafyDepartment of Biomedical Informatics, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Isaac ThomsenDepartment of Pediatrics, Division of Infectious Diseases, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Elizabeth W KarlsonHarvard Medical School, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mine CicekMayo Clinic, Rochester, Minnesota, USA.
Ligia A PintoFrederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.ORCID 0000-0002-3130-9882
Bradley A MalinDepartment of Biomedical Informatics, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Lucila Ohno-MachadoDepartment of Biomedical Informatics, University of California-San Diego Health, La Jolla, California, USA.
Carolyn WilliamsNational Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland, USA.
David GoldsteinColumbia University Medical Center, New York, New York, USA.
Aymone KouameDepartment of Biomedical Informatics, Vanderbilt University Medical Centergrid.412807.8, Nashville, Tennessee, USA.
Andrea RamirezAll of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
Kelly A Gebo *Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sheri D Schully *All of Us Research Program, National Institutes of Health, Bethesda, Maryland, USA.
All of Us Research Program
Vanderbilt University Medical Center · USNational Institutes of Health · USFrederick National Laboratory for Cancer Research · USJohns Hopkins University · USBrigham and Women's Hospital · USColumbia University Irving Medical Center · USMayo Clinic · USUniversity of California, Irvine · USUniversity of California San Diego · US

Funding

WORK ORDER 126643 B539 EXPAND IC SUITE75N91019D00024 · NIAID · LEIDOS BIOMEDICAL RESEARCH, INC. · PI BRISCOE, LYNN · 2019 to 2025
$3932.6M
Enhancing All of Us Data Resources for Nutrition Precision Health: the All of Us Data and Research CenterU2COD023196 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GLAZER, DAVID, HARRIS, PAUL A. · 2016 to 2022
$143.7M
California Precision Medicine Research Program ConsortiumOT2OD026552 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANTON-CULVER, HODA A, OHNO-MACHADO, LUCILA · 2018 to 2023
$73.4M
The New England Precision Medicine Consortium of the All of Us Research ProgramOT2OD026553 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI CLARK, CHERYL RENEE, KARLSON, ELIZABETH W · 2018 to 2023
$58.8M
NCI NIH HHS 75N91019D00024NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003INIH HHS 75N91019D00024NIH HHS OT2 OD026552NIH HHS OT2 OD026553NIH HHS U2C OD023196
6 · The paper itself

Abstract

Accurate, highly specific immunoassays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are needed to evaluate seroprevalence. This study investigated the concordance of results across four immunoassays targeting different antigens for sera collected at the beginning of the SARS-CoV-2 pandemic in the United States. Specimens from All of Us participants contributed between January and March 2020 were tested using the Abbott Architect SARS-CoV-2 IgG (immunoglobulin G) assay (Abbott) and the EuroImmun SARS-CoV-2 enzyme-linked immunosorbent assay (ELISA) (EI). Participants with discordant results, participants with concordant positive results, and a subset of concordant negative results by Abbott and EI were also tested using the Roche Elecsys anti-SARS-CoV-2 (IgG) test (Roche) and the Ortho-Clinical Diagnostics Vitros anti-SARS-CoV-2 IgG test (Ortho). The agreement and 95% confidence intervals were estimated for paired assay combinations. SARS-CoV-2 antibody concentrations were quantified for specimens with at least two positive results across four immunoassays. Among the 24,079 participants, the percent agreement for the Abbott and EI assays was 98.8% (95% confidence interval, 98.7%, 99%). Of the 490 participants who were also tested by Ortho and Roche, the probability-weighted percentage of agreement (95% confidence interval) between Ortho and Roche was 98.4% (97.9%, 98.9%), that between EI and Ortho was 98.5% (92.9%, 99.9%), that between Abbott and Roche was 98.9% (90.3%, 100.0%), that between EI and Roche was 98.9% (98.6%, 100.0%), and that between Abbott and Ortho was 98.4% (91.2%, 100.0%). Among the 32 participants who were positive by at least 2 immunoassays, 21 had quantifiable anti-SARS-CoV-2 antibody concentrations by research assays. The results across immunoassays revealed concordance during a period of low prevalence. However, the frequency of false positivity during a period of low prevalence supports the use of two sequentially performed tests for unvaccinated individuals who are seropositive by the first test.

Indexed as

COVID-19Population HealthAntibodies, ViralHumansImmunoglobulin GPrevalenceSARS-CoV-2Sensitivity and SpecificitySeroepidemiologic StudiesAntibodies, ViralImmunoglobulin GIgG antibodieslow prevalencenucleocapsid proteinSARS-CoV-2spike protein

Identifiers

PMID36173112
PMCPMC9599436
OpenAlexW4297965131

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.