Evidence map›Paper›PMID 34986501›Full record

ArticleAllergy2022

Serological testing for SARS-CoV-2 antibodies in clinical practice: A comparative diagnostic accuracy study.

Michael P Horn, Hulda R Jonsdottir, Daniel Brigger, Lauro Damonti, Franziska Suter-Riniker, Olga Endrich, Tanja K Froehlich, Martin Fiedler, Carlo R Largiadèr, Jonas Marschall and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Allergy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  12. Diagnostic accuracy of SARS-CoV-2 saliva antigen testing in a real-life clinical setting.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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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

13 authors at 3 institutions in 1 country.

Michael P HornUniversity Institute of Clinical Chemistry, Inselspital University Hospital, Bern, Switzerland.ORCID 0000-0002-5772-6342
Hulda R JonsdottirDepartment of Rheumatology, Immunology, and Allergology, Inselspital University Hospital, Bern, Switzerland.ORCID 0000-0001-7509-5970
Daniel BriggerDepartment of Rheumatology, Immunology, and Allergology, Inselspital University Hospital, Bern, Switzerland.
Lauro DamontiDepartment of Infectious Diseases, Bern University Hospital, and University of Bern, Bern, Switzerland.
Franziska Suter-RinikerInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
Olga EndrichMedical Directorate, Inselspital, University Hospital of Bern, Berne, Switzerland.
Tanja K FroehlichUniversity Institute of Clinical Chemistry, Inselspital University Hospital, Bern, Switzerland.
Martin FiedlerUniversity Institute of Clinical Chemistry, Inselspital University Hospital, Bern, Switzerland.
Carlo R LargiadèrUniversity Institute of Clinical Chemistry, Inselspital University Hospital, Bern, Switzerland.
Jonas MarschallDepartment of Infectious Diseases, Bern University Hospital, and University of Bern, Bern, Switzerland.
Benjamin WeberSpiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland.
Alexander EggelDepartment of Rheumatology, Immunology, and Allergology, Inselspital University Hospital, Bern, Switzerland.ORCID 0000-0001-8746-3339
Michael NaglerUniversity Institute of Clinical Chemistry, Inselspital University Hospital, Bern, Switzerland.ORCID 0000-0003-4319-2367
University of Bern · CHUniversity Hospital of Bern · CHSpiez Laboratory · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerological tests are a powerful tool in the monitoring of infectious diseases and the detection of host immunity. However, manufacturers often provide diagnostic accuracy data generated through biased studies, and the performance in clinical practice is essentially unclear.

objectivesWe aimed to determine the diagnostic accuracy of various serological testing strategies for (a) identification of patients with previous coronavirus disease-2019 (COVID-19) and (b) prediction of neutralizing antibodies against SARS-CoV-2 in real-life clinical settings.

methodsWe prospectively included 2573 consecutive health-care workers and 1085 inpatients with suspected or possible previous COVID-19 at a Swiss University Hospital. Various serological immunoassays based on different analytical techniques (enzyme-linked immunosorbent assays, ELISA; chemiluminescence immunoassay, CLIA; electrochemiluminescence immunoassay, ECLIA; and lateral flow immunoassay, LFI), epitopes of SARS-CoV-2 (nucleocapsid, N; receptor-binding domain, RBD; extended RBD, RBD+; S1 or S2 domain of the spike [S] protein, S1/S2), and antibody subtypes (IgG, pan-Ig) were conducted. A positive real-time PCR test from a nasopharyngeal swab was defined as previous COVID-19. Neutralization assays with live SARS-CoV-2 were performed in a subgroup of patients to assess neutralization activity (n = 201).

resultsThe sensitivity to detect patients with previous COVID-19 was ≥85% in anti-N ECLIA (86.8%) and anti-S1 ELISA (86.2%). Sensitivity was 84.7% in anti-S1/S2 CLIA, 84.0% in anti-RBD+LFI, 81.0% in anti-N CLIA, 79.2% in anti-RBD ELISA, and 65.6% in anti-N ELISA. The specificity was 98.4% in anti-N ECLIA, 98.3% in anti-N CLIA, 98.2% in anti-S1 ELISA, 97.7% in anti-N ELISA, 97.6% in anti-S1/S2 CLIA, 97.2% in anti-RBD ELISA, and 96.1% in anti-RBD+LFI. The sensitivity to detect neutralizing antibodies was ≥85% in anti-S1 ELISA (92.7%), anti-N ECLIA (91.7%), anti-S1/S2 CLIA (90.3%), anti-RBD+LFI (87.9%), and anti-RBD ELISA (85.8%). Sensitivity was 84.1% in anti-N CLIA and 66.2% in anti-N ELISA. The specificity was ≥97% in anti-N CLIA (100%), anti-S1/S2 CLIA (97.7%), and anti-RBD+LFI (97.9%). Specificity was 95.9% in anti-RBD ELISA, 93.0% in anti-N ECLIA, 92% in anti-S1 ELISA, and 65.3% in anti-N ELISA. Diagnostic accuracy measures were consistent among subgroups.

conclusionsThe diagnostic accuracy of serological tests for SARS-CoV-2 antibodies varied remarkably in clinical practice, and the sensitivity to identify patients with previous COVID-19 deviated substantially from the manufacturer's specifications. The data presented here should be considered when using such tests to estimate the infection burden within a specific population and determine the likelihood of protection against re-infection.

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralCOVID-19 TestingHumansSensitivity and SpecificityAntibodies, NeutralizingAntibodies, ViralCOVID-19 diagnostic testing [Supplementary Concept]Infections/*epidemiology/transmission*Disease OutbreaksSARS-CoV-2 [Supplementary Concept]severe acute respiratory syndrome coronavirus 2 [Supplementary Concept]spike protein

Identifiers

PMID34986501
PMCPMC9303219
OpenAlexW4206328573

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.