Evidence map›Paper›PMID 32796119›Full record

ArticleThorax2020

Clinical and laboratory evaluation of SARS-CoV-2 lateral flow assays for use in a national COVID-19 seroprevalence survey.

Barnaby Flower, Jonathan C Brown, Bryony Simmons, Maya Moshe, Rebecca Frise, Rebecca Penn, Ruthiran Kugathasan, Claire Petersen, Anna Daunt, Deborah Ashby and 28 more

Open access · bronzeAbstract read
In one paragraph

Article in Thorax, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 4 pooled it
3.6field-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

73 citing papers in PubMed, 4 syntheses or guidelines pooled it, 157 citations in OpenAlex.

  1. Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  2. Pooled it
  3. Clinical applications of detecting IgG, IgM or IgA antibody for the diagnosis of COVID-19: A meta-analysis and systematic review.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Review
  8. Article
  9. Cognition and Memory after Covid-19 in a Large Community Sample.The New England journal of medicine · 2024
    Article
  10. Article
  11. Microgel-based etalon immunoassay for IgG detection.Analytical and bioanalytical chemistry · 2023
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
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13 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

38 authors at 4 institutions in 1 country.

Barnaby Flower *Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK b.flower@imperial.ac.uk.ORCID 0000-0002-2659-544X
Jonathan C Brown *Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-6849-3962
Bryony SimmonsDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Maya MosheDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Rebecca FriseDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Rebecca PennDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Ruthiran KugathasanDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Claire PetersenImperial College Healthcare NHS Trust, London, UK.
Anna DauntDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Deborah AshbyDepartment of Epidemiology and Public Health, Imperial College London, London, UK.
Steven RileyDepartment of Epidemiology and Public Health, Imperial College London, London, UK.
Christina Joanne AtchisonNIHR BRC, Imperial College NHS Trust, London, UK.
Graham P TaylorDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Sutha SatkunarajahInstitute of Global Health Innovation, Imperial College London, London, UK.
Lenny NaarInstitute of Global Health Innovation, Imperial College London, London, UK.
Robert KlaberImperial College Healthcare NHS Trust, London, UK.
Anjna BadhanDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Carolina RosadasDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Maryam KhanDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Natalia FernandezDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Macià Sureda-VivesSynthetic Biology Group, MRC London Institute of Medical Sciences, Imperial College London, London, UK.
Hannah M CheesemanDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Jessica O'HaraDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Gianluca FontanaInstitute of Global Health Innovation, Imperial College London, London, UK.
Scott J C PallettCentre for Defence Pathology, British Army, Birmingham, UK.ORCID 0000-0002-9465-5299
Michael RaymentChelsea and Westminster Healthcare NHS Trust, London, UK.
Rachael JonesChelsea and Westminster Healthcare NHS Trust, London, UK.
Luke S P MooreChelsea and Westminster Healthcare NHS Trust, London, UK.ORCID 0000-0001-7095-7922
Myra O McClureDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Peter CherepanovDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Richard TedderDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Hutan AshrafianDepartment of Surgery and Cancer, Imperial College London, London, UK.
Robin ShattockDepartment of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Helen WardNIHR BRC, Imperial College NHS Trust, London, UK.
Ara DarziNIHR BRC, Imperial College NHS Trust, London, UK.
Paul ElliotNIHR BRC, Imperial College NHS Trust, London, UK.
Wendy S Barclay *Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Graham S Cooke *Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, UK.
Imperial College London · GBNIHR Imperial Biomedical Research Centre · GBImperial College Healthcare NHS Trust · GBMRC London Institute of Medical Sciences · GB

Funding

Department of Health RP-2016-07-012Medical Research Council MC_PC_19012Medical Research Council MC_PC_19078Medical Research Council MR/J008761/1Medical Research Council MR/R015600/1Medical Research Council MR/S019669/1Wellcome Trust 200861/Z/16/Z
6 · The paper itself

Abstract

backgroundAccurate antibody tests are essential to monitor the SARS-CoV-2 pandemic. Lateral flow immunoassays (LFIAs) can deliver testing at scale. However, reported performance varies, and sensitivity analyses have generally been conducted on serum from hospitalised patients. For use in community testing, evaluation of finger-prick self-tests, in non-hospitalised individuals, is required.

methodsSensitivity analysis was conducted on 276 non-hospitalised participants. All had tested positive for SARS-CoV-2 by reverse transcription PCR and were ≥21 days from symptom onset. In phase I, we evaluated five LFIAs in clinic (with finger prick) and laboratory (with blood and sera) in comparison to (1) PCR-confirmed infection and (2) presence of SARS-CoV-2 antibodies on two 'in-house' ELISAs. Specificity analysis was performed on 500 prepandemic sera. In phase II, six additional LFIAs were assessed with serum.

findings95% (95% CI 92.2% to 97.3%) of the infected cohort had detectable antibodies on at least one ELISA. LFIA sensitivity was variable, but significantly inferior to ELISA in 8 out of 11 assessed. Of LFIAs assessed in both clinic and laboratory, finger-prick self-test sensitivity varied from 21% to 92% versus PCR-confirmed cases and from 22% to 96% versus composite ELISA positives. Concordance between finger-prick and serum testing was at best moderate (kappa 0.56) and, at worst, slight (kappa 0.13). All LFIAs had high specificity (97.2%-99.8%).

interpretationLFIA sensitivity and sample concordance is variable, highlighting the importance of evaluations in setting of intended use. This rigorous approach to LFIA evaluation identified a test with high specificity (98.6% (95%CI 97.1% to 99.4%)), moderate sensitivity (84.4% with finger prick (95% CI 70.5% to 93.5%)) and moderate concordance, suitable for seroprevalence surveys.

Indexed as

PandemicsAdultAntibodies, ViralCOVID-19DNA, ViralFemaleFollow-Up StudiesHumansImmunoassayMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSARS-CoV-2Seroepidemiologic StudiesAntibodies, ViralDNA, Viralclinical epidemiologyrespiratory infectionviral infection

Identifiers

PMID32796119
PMCPMC7430184
OpenAlexW3048683141

What OpenQuestion holds

Textmetadata
LicenceTDM
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.