Evidence map›Paper›PMID 33920076›Full record

ArticleJournal of clinical medicine2021

Head-to-Head Evaluation of Five Automated SARS-CoV-2 Serology Immunoassays in Various Prevalence Settings.

Diego O Andrey, Sabine Yerly, Benjamin Meyer, Isabelle Arm-Vernez, Pascale Roux-Lombard, Giuseppe Togni, Idris Guessous, Hervé Spechbach, Silvia Stringhini, Thomas Agoritsas and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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

16 authors at 3 institutions in 1 country.

Diego O AndreyDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.ORCID 0000-0003-3247-9274
Sabine YerlyDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.
Benjamin MeyerCentre for Vaccinology, Department of Pathology and Immunology, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0003-0601-3550
Isabelle Arm-VernezDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.
Pascale Roux-LombardDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.
Giuseppe TogniUnilabs, Central Laboratory Collection Centers, 1296 Coppet, Switzerland.
Idris GuessousDivision and Department of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Hervé SpechbachDivision and Department of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.ORCID 0000-0002-0755-1257
Silvia StringhiniDivision and Department of Primary Care Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Thomas AgoritsasDivision of General Internal Medicine, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.ORCID 0000-0002-6182-9969
Jérôme StirnemannDivision of General Internal Medicine, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.ORCID 0000-0001-9964-4452
Jean-Luc RenyDivision of General Internal Medicine, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Claire-Anne SiegristCentre for Vaccinology, Department of Pathology and Immunology, University of Geneva, 1205 Geneva, Switzerland.ORCID 0000-0001-7984-8669
Isabella EckerleDivision of Infectious Diseases, Department of Medicine, Geneva University Hospitals, 1211 Geneva, Switzerland.
Laurent KaiserDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.
Nicolas VuilleumierDivision of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals and Geneva University, 1211 Geneva, Switzerland.
University Hospital of Geneva · CHUniversity of Geneva · CHUnion Bank of Switzerland · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the diagnostic performances of five automated anti-SARS-CoV-2 immunoassays, Epitope (N), Diasorin (S1/S2), Euroimmun (S1), Roche N (N), and Roche S (S-RBD), and to provide a testing strategy based on pre-test probability.

methodsWe assessed the receiver operating characteristic (ROC) areas under the curve (AUC) values, along with the sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs), of each assay using a validation sample set of 172 COVID-19 sera and 185 negative controls against a validated S1-immunofluorescence as a reference method. The three assays displaying the highest AUCs were selected for further serodetection of 2033 sera of a large population-based cohort.

resultsIn the validation analysis (pre-test probability: 48.1%), Roche N, Roche S and Euroimmun showed the highest discriminant accuracy (AUCs: 0.99, 0.98, and 0.98) with PPVs and NPVs above 96% and 94%, respectively. In the population-based cohort (pre-test probability: 6.2%) these three assays displayed AUCs above 0.97 and PPVs and NPVs above 90.5% and 99.4%, respectively. A sequential strategy using an anti-S assay as screening test and an anti-N as confirmatory assays resulted in a 96.7% PPV and 99.5% NPV, respectively.

conclusionsEuroimmun and both Roche assays performed equally well in high pre-test probability settings. At a lower prevalence, sequentially combining anti-S and anti-N assays resulted in the optimal trade-off between diagnostic performances and operational considerations.

Indexed as

anti-Nanti-SCOVID-19Diasorinelectrochemiluminescent immunoassay (ECLIA)enzyme-linked immunosorbent assay (ELISA)EpitopeEuroimmunRocheSARS-CoV-2serology

Identifiers

PMID33920076
PMCPMC8069412
OpenAlexW3154773662

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.