Evidence map›Paper›PMID 36222681›Full record

ArticleMicrobiology spectrum2022

One-Year Follow-Up of COVID-19 Patients Indicates Substantial Assay-Dependent Differences in the Kinetics of SARS-CoV-2 Antibodies.

Alexander E Egger, Sabina Sahanic, Andreas Gleiss, Franz Ratzinger, Barbara Holzer, Christian Irsara, Nikolaus Binder, Christoph Winkler, Christoph J Binder, Wilfried Posch and 9 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 10 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

19 authors at 5 institutions in 2 countries.

Alexander E EggerCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Sabina SahanicDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Andreas GleissSection for Clinical Biometrics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Viennagrid.22937.3d, Vienna, Austria.
Franz RatzingerIhr Labor, Medical Diagnostic Laboratories, Vienna, Austria.
Barbara HolzerAustrian Agency for Health and Food Safety (AGES), Department for Animal Health, Moedling, Austria.
Christian IrsaraCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Nikolaus BinderTechnoclone Herstellung von Diagnostika und Arzneimitteln GmbH, Vienna, Austria.
Christoph WinklerCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Christoph J BinderDepartment of Laboratory Medicine, Medical University of Viennagrid.22937.3d, Vienna, Austria.
Wilfried PoschInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0001-8955-7654
Lorin LoackerCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Boris HartmannAustrian Agency for Health and Food Safety (AGES), Department for Animal Health, Moedling, Austria.
Markus AnlikerCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Guenter WeissDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Thomas SonnweberDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Ivan TancevskiDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Andrea GriesmacherCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.
Judith Löffler-RaggDepartment of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria.
Gregor HoermannCentral Institute of Medical and Chemical Laboratory Diagnostics (ZIMCL), University Hospital of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-7374-4380
Innsbruck Medical University · ATUniversity Hospital Innsbruck · ATAustrian Agency for Health and Food Safety · ATMedical University of Vienna · ATMunich Leukemia Laboratory (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determination of antibody levels against the nucleocapsid (N) and spike (S) proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are used to estimate the humoral immune response after SARS-CoV-2 infection or vaccination. Differences in the design and specification of antibody assays challenge the interpretation of test results, and comparative studies are often limited to single time points per patient. We determined the longitudinal kinetics of antibody levels of 145 unvaccinated coronavirus disease 2019 (COVID-19) patients at four visits over 1 year upon convalescence using 8 commercial SARS-CoV-2 antibody assays (from Abbott, DiaSorin, Roche, Siemens, and Technoclone), as well as a virus neutralization test (VNT). A linear regression model was used to investigate whether antibody results obtained in the first 6 months after disease onset could predict the VNT results at 12 months. Spike protein-specific antibody tests showed good correlation to the VNT at individual time points (

Indexed as

COVID-19Antibodies, NeutralizingAntibodies, ViralFollow-Up StudiesHumansImmunity, HumoralSARS-CoV-2Antibodies, NeutralizingAntibodies, Viralantibody kineticsassay comparisonneutralizing antibodiespredictive modellingSARS-CoV-2

Identifiers

PMID36222681
PMCPMC9784763
OpenAlexW4304757220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.