Evidence map›Paper›PMID 32603801›Full record

ArticleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2020

Validation of a commercially available SARS-CoV-2 serological immunoassay.

B Meyer, G Torriani, S Yerly, L Mazza, A Calame, I Arm-Vernez, G Zimmer, T Agoritsas, J Stirnemann, H Spechbach and 10 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 4% 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

114 citing papers in PubMed, 1 synthesis or guideline pooled it, 173 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

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 3 institutions in 4 countries.

B MeyerCentre for Vaccinology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
G TorrianiDepartment of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland.
S YerlyLaboratory of Virology, Geneva University Hospitals, Geneva, Switzerland.
L MazzaLaboratory of Virology, Geneva University Hospitals, Geneva, Switzerland.
A CalameDivision of Infectious Disease, Geneva University Hospitals, Geneva, Switzerland.
I Arm-VernezLaboratory of Virology, Geneva University Hospitals, Geneva, Switzerland.
G ZimmerInstitute of Virology and Immunology (IVI), Mittelhäusern, Switzerland; Department of Infectious Diseases and Pathobiology (DIP), Vetsuisse Faculty, University of Bern, Bern, Switzerland.
T AgoritsasDivision of General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland; Department of Health Research Methods, Evidence, and Impact, Hamilton, Ontario, Canada.
J StirnemannDivision of General Internal Medicine, Department of Medicine, Geneva University Hospitals, Geneva, Switzerland.
H SpechbachDivision and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
I GuessousDivision and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland.
S StringhiniDivision and Department of Primary Care Medicine, Geneva University Hospitals, Geneva, Switzerland; Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland.
J PuginDivision of Intensive Care, Geneva University Hospitals, Geneva, Switzerland.
P Roux-LombardDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, Geneva, Switzerland.
L FontaoDivision of Dermatology and of Laboratory Medicine, Geneva University Hospitals, Geneva, Switzerland.
C-A SiegristCentre for Vaccinology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland.
I EckerleDepartment of Microbiology and Molecular Medicine, University of Geneva, Geneva, Switzerland; Division of Infectious Disease, Geneva University Hospitals, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland.
N VuilleumierDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, Geneva, Switzerland; Division of Laboratory Medicine, Department of Medicine, Faculty of Medicine, Geneva, Switzerland.
L KaiserLaboratory of Virology, Geneva University Hospitals, Geneva, Switzerland; Division of Infectious Disease, Geneva University Hospitals, Geneva, Switzerland; Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland. Electronic address: Laurent.Kaiser@hcuge.ch.
Geneva Center for Emerging Viral Diseases
University Hospital of Geneva · CHUniversity of Geneva · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo validate the diagnostic accuracy of a Euroimmun SARS-CoV-2 IgG and IgA immunoassay for COVID-19.

methodsIn this unmatched (1:2) case-control validation study, we used sera of 181 laboratory-confirmed SARS-CoV-2 cases and 326 controls collected before SARS-CoV-2 emergence. Diagnostic accuracy of the immunoassay was assessed against a whole spike protein-based recombinant immunofluorescence assay (rIFA) by receiver operating characteristic (ROC) analyses. Discrepant cases between ELISA and rIFA were further tested by pseudo-neutralization assay.

resultsCOVID-19 patients were more likely to be male and older than controls, and 50.3% were hospitalized. ROC curve analyses indicated that IgG and IgA had high diagnostic accuracies with AUCs of 0.990 (95% Confidence Interval [95%CI]: 0.983-0.996) and 0.978 (95%CI: 0.967-0.989), respectively. IgG assays outperformed IgA assays (p=0.01). Taking an assessed 15% inter-assay imprecision into account, an optimized IgG ratio cut-off > 2.5 displayed a 100% specificity (95%CI: 99-100) and a 100% positive predictive value (95%CI: 96-100). A 0.8 cut-off displayed a 94% sensitivity (95%CI: 88-97) and a 97% negative predictive value (95%CI: 95-99). Substituting the upper threshold for the manufacturer's, improved assay performance, leaving 8.9% of IgG ratios indeterminate between 0.8-2.5.

conclusionsThe Euroimmun assay displays a nearly optimal diagnostic accuracy using IgG against SARS-CoV-2 in patient samples, with no obvious gains from IgA serology. The optimized cut-offs are fit for rule-in and rule-out purposes, allowing determination of whether individuals in our study population have been exposed to SARS-CoV-2 or not. IgG serology should however not be considered as a surrogate of protection at this stage.

Indexed as

AdultAntibodies, ViralArea Under CurveBetacoronavirusCase-Control StudiesChildClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHumansImmune SeraImmunoassayImmunoglobulin AImmunoglobulin GAntibodies, ViralImmune SeraImmunoglobulin AImmunoglobulin GCOVID-19ELISAPseudovirus neutralisation assayRecombinant immunofluorescence assaySARS-CoV-2Serological assaysSerological testing strategy

Identifiers

PMID32603801
PMCPMC7320699
OpenAlexW3037622635

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.