Evidence map›Paper›PMID 35464155›Full record

ArticleEJHaem2022

Erytra blood group analyser and kode technology testing of SARS-CoV-2 antibodies among convalescent patients and vaccinated individuals.

Christof Weinstock, Willy A Flegel, Kshitij Srivastava, Sabine Kaiser, Hubert Schrezenmeier, Chrysanthi Tsamadou, Carolin Ludwig, Bernd Jahrsdörfer, Nicolai V Bovin, Stephen M Henry

Open access · diamondAbstract read
In one paragraph

Article in EJHaem, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. The highest Duffy (Health science reports · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Christof WeinstockInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.ORCID https://orcid.org/0000-0001-9739-8948
Willy A FlegelDepartment of Transfusion Medicine NIH Clinical Center, National Institutes of Health Bethesda Maryland USA.ORCID https://orcid.org/0000-0002-1631-7198
Kshitij SrivastavaDepartment of Transfusion Medicine NIH Clinical Center, National Institutes of Health Bethesda Maryland USA.
Sabine KaiserInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.
Hubert SchrezenmeierInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.
Chrysanthi TsamadouInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.
Carolin LudwigInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.
Bernd JahrsdörferInstitute for Clinical Transfusion Medicine and Immunogenetics Ulm, German Red Cross Blood Service Baden-Württemberg - Hessen; Department of Transfusion Medicine Ulm University Ulm Germany.
Nicolai V BovinCentre for Kode Technology Innovation School of Engineering Computer and Mathematical Sciences, Faculty of Design and Creative Technologies Auckland Stephen Henry Auckland New Zealand.
Stephen M HenryCentre for Kode Technology Innovation School of Engineering Computer and Mathematical Sciences, Faculty of Design and Creative Technologies Auckland Stephen Henry Auckland New Zealand.ORCID https://orcid.org/0000-0002-9946-8441
German Red Cross · DEAuckland University of Technology · NZNational Institutes of Health Clinical Center · US

Funding

Laboratory Services Section, Department of Transfusion Medicine Core ReportZICCL002128 · CLC · CLINICAL CENTER · PI FLEGEL, WILLY · 2020 to 2025
$0k
Intramural NIH HHS ZIC CL002128
6 · The paper itself

Abstract

Surveillance of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic requires tests to monitor antibody formation and prevalence. We detected SARS-CoV-2 antibodies using red cells coated by Kode technology with short peptides derived from the SARS-CoV-2 spike protein (SP). Such modified red cells, called C19-kodecytes, can be used as reagent cells in any manual or automated column agglutination assay. We investigated the presence of SARS-CoV-2 antibodies in 130 samples from COVID-19 convalescent plasma donors using standard manual technique, two FDA-authorized enzyme-linked immunosorbent assay (ELISA) assays and a virus neutralisation assay. The sensitivity of the C19-kodecyte assay was 88%, comparable to the anti-SP and anti-nucleocapsid protein (NCP) ELISAs (86% and 83%) and the virus neutralisation assay (88%). The specificity of the C19-kodecyte assay was 90% (anti-SP 100% and anti-NCP 97%). Likewise, 231 samples from 73 vaccinated individuals were tested with an automated analyser, and we monitored the appearance and persistence of SARS-CoV-2 antibodies. The C19-kodecyte assay is a robust tool for SARS-CoV-2 antibody detection. Automated blood group analyser use enables large-scale SARS-CoV-2 antibody testing for vaccination monitoring in population surveys.

Indexed as

antibody testingC19‐kodecytesCOVID‐19red cellsSARS‐CoV‐2vaccination monitoring

Identifiers

PMID35464155
PMCPMC9015314
OpenAlexW3216036090

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.