Evidence map›Paper›PMID 32858061›Full record

ArticleClinical biochemistry2020

High clinical performance and quantitative assessment of antibody kinetics using a dual recognition assay for the detection of SARS-CoV-2 IgM and IgG antibodies.

Antoine Mairesse, Julien Favresse, Christine Eucher, Marc Elsen, Marie Tré-Hardy, Caroline Haventith, Damien Gruson, Jean-Michel Dogné, Jonathan Douxfils, Paul Göbbels

Open access · bronzeAbstract read
In one paragraph

Article in Clinical biochemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 19% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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  5. Performance of a SARS CoV-2 antibody ELISA based on simultaneous measurement of antibodies against the viral nucleoprotein and receptor-binding domain.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
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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

10 authors at 4 institutions in 1 country.

Antoine MairesseDepartment of Laboratory Medicine, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium.
Julien FavresseDepartment of Laboratory Medicine, Clinique St-Luc Bouge, Namur, Belgium; Department of Pharmacy, Namur Research Institute for LIfes Sciences, University of Namur, Belgium.
Christine EucherDepartment of Laboratory Medicine, Clinique St-Luc Bouge, Namur, Belgium.
Marc ElsenDepartment of Laboratory Medicine, Clinique St-Luc Bouge, Namur, Belgium.
Marie Tré-HardyDepartment of Pharmacy, Namur Research Institute for LIfes Sciences, University of Namur, Belgium; Department of Laboratory Medicine, Iris Hospitals South, Brussels, Belgium; Faculty of Medicine, Université libre de Bruxelles, Brussels, Belgium.
Caroline HaventithDepartment of Laboratory Medicine, Saint Nikolaus Hospital, Eupen, Belgium.
Damien GrusonDepartment of Laboratory Medicine, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium.
Jean-Michel DognéDepartment of Pharmacy, Namur Research Institute for LIfes Sciences, University of Namur, Belgium.
Jonathan DouxfilsDepartment of Pharmacy, Namur Research Institute for LIfes Sciences, University of Namur, Belgium; Qualiblood sa, Namur, Belgium. Electronic address: jonathan.douxfils@unamur.be.
Paul GöbbelsDepartment of Laboratory Medicine, Saint Nikolaus Hospital, Eupen, Belgium.
University of Namur · BEClinique Saint-Joseph · BECliniques Universitaires Saint-Luc · BEUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSeveral serological SARS-CoV-2 immunoassays have been developed recently but require external validation before widespread use. This study aims at assessing the analytical and clinical performance of the iFlash® anti-SARS-CoV-2 chemiluminescence assay for the detection of both IgM and IgG antibodies. The kinetics of the antibody response was also evaluated. DESIGN &

methodsThe precision, carry-over, linearity, limit of blank, detection and quantification were assessed. Sensitivity analysis was performed by using 178 sera collected from 154 RT-PCR confirmed COVID-19 patients. The specificity analysis was performed from 75 selected non-SARS-CoV-2 sera with a potential cross-reaction to the SARS-CoV-2 immunoassay.

resultsThis iFlash® SARS-CoV-2 assay showed excellent analytical performance. After 2 weeks since symptom onset, the sensitivities for IgM and IgG were 62.2% (95% CI: 52.3-71.2%) and 92.9%% (95% CI: 85.7-96.7%), respectively by using the cut-off provided by the manufacturer. After cut-off optimization (i.e. >2.81 for IgM and >4.86 for IgG), the sensitivity for IgM and IgG were 81.6 (95% CI: 72.7-88.1%) and 95.9% (95% CI: 89.4-98.7%), respectively. Optimized cut-off for IgG improved the sensitivity to reach 100% (95%CI: 87.6-100) from 28 days since symptom onset.

conclusionsThis study shows that the iFlash® SARS-CoV-2 assay from YHLO biotechnology, has satisfactory analytical performance. Nevertheless, the sensitivity of the IgM is limited for a proper clinical use compared to IgG. The determination of anti-SARS-CoV-2 IgG antibodies from 28 days since symptom onset was associated with high sensitivity, especially using optimized cut-offs (i.e. 100%).

Indexed as

COVID-19 Serological TestingSARS-CoV-2AdultAntibodies, ViralCOVID-19FemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedRetrospective StudiesAntibodies, ViralImmunoglobulin GImmunoglobulin MCOVID-19KineticsSARS-CoV-2SerologySymptom onset

Identifiers

PMID32858061
PMCPMC7445483
OpenAlexW3080870964

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.