Evidence map›Paper›PMID 33770657›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2021

An evaluation of 4 commercial assays for the detection of SARS-CoV-2 antibodies in a predominantly mildly symptomatic low prevalence Australian population.

Michael C Wehrhahn, Suzanne J Brown, James P Newcombe, Smathi Chong, Jenny Evans, Melanie Figtree, Laurence Hainke, Linda Hueston, Sadid Khan, Elizabeth Marland and 6 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Testing for COVID-19: a 2023 update.Australian prescriber · 2023
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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

16 authors at 7 institutions in 1 country.

Michael C WehrhahnDepartment of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia. Electronic address: mwehrhahn@dhm.com.au.
Suzanne J BrownDepartment of Endocrinology, Sir Charles Gairdner Hospital, Western Australia, Australia.
James P NewcombeDepartment of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia; NSW Health Pathology, Department of Microbiology, Royal North Shore Hospital, New South Wales, Australia.
Smathi ChongDepartment of Microbiology, Clinipath Pathology, Western Australia, Australia.
Jenny EvansDepartment of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.
Melanie FigtreeNSW Health Pathology, Department of Microbiology, Royal North Shore Hospital, New South Wales, Australia.
Laurence HainkeDepartment of Microbiology, Clinipath Pathology, Western Australia, Australia.
Linda HuestonNSW Health Pathology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.
Sadid KhanDepartment of Microbiology, Melbourne Pathology, Victoria, Australia.
Elizabeth MarlandDepartment of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia.
Matthew V N O'SullivanNSW Health Pathology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, New South Wales, Australia.
Helen PowellDepartment of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.
Jhumur RoyDepartment of Microbiology, Clinpath Pathology, South Australia, Australia.
Lynette WaringDepartment of Microbiology, Melbourne Pathology, Victoria, Australia.
Megan YuDepartment of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia.
Jennifer RobsonDepartment of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.
Douglass Hanly Moir Pathology · AUSullivan Nicolaides Pathology · AUMelbourne Clinic · AURoyal North Shore Hospital · AUNew South Wales Department of Health · AUSir Charles Gairdner Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 1080 individual patient samples (158 positive serology samples from confirmed, predominantly mildly symptomatic COVID-19 patients and 922 serology negative including 496 collected pre-COVID) from four states in Australia were analysed on four commercial SARS-CoV-2 serological assays targeting antibodies to different antigens (Roche Elecsys and Abbott Architect: nucleocapsid; Diasorin Liaison and Euroimmun: spike). A subset was compared to immunofluorescent antibody (IFA) and micro-neutralisation. Sensitivity and specificity of the Roche (n = 1033), Abbott (n = 806), Diasorin (n = 1034) and Euroimmun (n = 175) were 93.7 %/99.5 %, 90.2 %/99.4 %, 88.6 %/98.6 % and 91.3 %/98.8 %, respectively. ROC analysis with specificity held at 99 % increased the sensitivity for the Roche and Abbott assays from 93.7% to 98.7% (cut-off 0.21) and 90.2 % to 94.0 % (cut-off 0.91), respectively. Overall seropositivity of samples increased from a maximum of 23 % for samples 0-7 days-post-onset of symptoms (dpos), to 61 % from samples 8-14dpos and 93 % from those >14dpos. IFA and microneutralisation values correlated best with assays targeting antibodies to spike protein with values >80 AU/mL on the Diasorin assay associated with neutralising antibody. Detectable antibody was present in 22/23 (96 %), 20/23 (87 %), 15/23 (65 %) and 9/22 (41 %) patients with samples >180dpos on the Roche, Diasorin, Abbott and microneutralisation assays respectively. Given the low prevalence in this community, two-step algorithms on initial positive results saw an increase in the positive predictive value (PPV) of positive samples (39 %-65 % to ≥98 %) for all combinations. Similarly accuracy increased from a range of 98.5 %-99.4 % to ≥99.8 % assuming a 1 % seroprevalence. Negative predictive value (NPV) was high (≥99.8 %) regardless of which assay was used initially.

Indexed as

Reagent Kits, DiagnosticAdolescentAdultAgedAged, 80 and overAntibodies, ViralAustraliaChildCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 Serological TestingFemaleHumansImmunoglobulin IsotypesMaleMiddle AgedAntibodies, ViralCoronavirus Nucleocapsid ProteinsImmunoglobulin Isotypesnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsReagent Kits, DiagnosticSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Commercial immunoassayImmunofluorescent antibody assayNeutralising antibodySARS-CoV-2 IgG

Identifiers

PMID33770657
PMCPMC7968170
OpenAlexW3137097875

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.