Evidence map›Paper›PMID 32638712›Full record

ArticleThe Analyst2020

Real-world evaluation of a novel technology for quantitative simultaneous antibody detection against multiple SARS-CoV-2 antigens in a cohort of patients presenting with COVID-19 syndrome.

Andrew M Shaw, Christopher Hyde, Blair Merrick, Philip James-Pemberton, Bethany K Squires, Rouslan V Olkhov, Rahul Batra, Amita Patel, Karen Bisnauthsing, Gaia Nebbia and 13 more

Abstract read
In one paragraph

Article in The Analyst, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

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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

23 authors.

Andrew M ShawDepartment of Bioscience, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. andrew.m.shaw@exeter.ac.uk and Attomarker Ltd, Innovation Centre, University of Exeter, Rennes Drive, Exeter, EX4 4RN, UK.ORCID http://orcid.org/0000-0002-5611-3691
Christopher HydeExeter Test Group, College of Medicine and Health, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK.
Blair MerrickCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.ORCID http://orcid.org/0000-0002-6061-6064
Philip James-PembertonDepartment of Bioscience, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. andrew.m.shaw@exeter.ac.uk and Attomarker Ltd, Innovation Centre, University of Exeter, Rennes Drive, Exeter, EX4 4RN, UK.
Bethany K SquiresAttomarker Ltd, Innovation Centre, University of Exeter, Rennes Drive, Exeter, EX4 4RN, UK.
Rouslan V OlkhovDepartment of Bioscience, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, EX4 4QD, UK. andrew.m.shaw@exeter.ac.uk and Attomarker Ltd, Innovation Centre, University of Exeter, Rennes Drive, Exeter, EX4 4RN, UK.
Rahul BatraCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.
Amita PatelCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.ORCID http://orcid.org/0000-0001-5945-7791
Karen BisnauthsingCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.
Gaia NebbiaCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.
Eithne MacMahonCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk.
Sam DouthwaiteDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Michael MalimDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Stuart NeilDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Rocio Martinez NunezDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Katie DooresDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Tan Kia Ik MarkDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.ORCID http://orcid.org/0000-0002-7774-3836
Adrian W SignellDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Gilberto BetancorDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Harry D WilsonDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Rui Pedro GalãoDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.
Suzanne PickeringDepartment of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.ORCID http://orcid.org/0000-0002-2747-9029
Jonathan D EdgeworthCentre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK. Jonathan.Edgeworth@gstt.nhs.uk and Department of Infectious Diseases, School of Immunology & Microbial Sciences, King's College London, UK.

Funding

Medical Research Council MC_PC_14105Medical Research Council MC_PC_15068
6 · The paper itself

Abstract

An evaluation of a rapid portable gold-nanotechnology measuring SARS-CoV-2 IgM, IgA and IgG antibody concentrations against spike 1 (S1), spike 2 (S) and nucleocapsid (N) was conducted using serum samples from 74 patients tested for SARS-CoV-2 RNA on admission to hospital, and 47 historical control patients from March 2019. 59 patients were RNA(+) and 15 were RNA(-). A serum (±) classification was derived for all three antigens and a quantitative serological profile was obtained. Serum(+) was identified in 30% (95% CI 11-48) of initially RNA(-) patients, in 36% (95% CI 17-54) of RNA(+) patients before 10 days, 77% (95% CI 67-87) between 10 and 20 days and 95% (95% CI 86-100) after 21 days. The patient-level diagnostic accuracy relative to RNA(±) after 10 days displayed 88% sensitivity (95% CI 75-95) and 75% specificity (95% CI 22-99), although specificity compared with historical controls was 100% (95%CI 91-100). This study provides robust support for further evaluation and validation of this novel technology in a clinical setting and highlights challenges inherent in assessment of serological tests for an emerging disease such as COVID-19.

Indexed as

AdultAgedAged, 80 and overAntibodies, ViralBetacoronavirusClinical Laboratory TechniquesCohort StudiesCoronavirus InfectionsCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 TestingFalse Negative ReactionsFemaleGoldHumansImmunoglobulin AAntibodies, ViralCoronavirus Nucleocapsid ProteinsGoldImmunoglobulin AImmunoglobulin GImmunoglobulin Mnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsPhosphoproteinsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID32638712
PMCPMC7953841

What OpenQuestion holds

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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.