Rapid and accurate agglutination-based testing for SARS-CoV-2 antibodies

  1. Sally Esmail
  2. Michael J. Knauer
  3. Husam Abdoh
  4. Courtney Voss
  5. Benjamin Chin-Yee
  6. Peter Stogios
  7. Almagul Seitova
  8. Ashley Hutchinson
  9. Farhad Yusifov
  10. Tatiana Skarina
  11. Elena Evdokimova
  12. Suzanne Ackloo
  13. Lori Lowes
  14. Benjamin D. Hedley
  15. Vipin Bhayana
  16. Ian Chin-Yee
  17. Shawn S.-C. Li

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Abstract

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  1. Version published to 10.1016/j.crmeth.2021.100011
  2. ScreenIT

    SciScore for 10.1101/2020.11.30.20241208: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementIRB: Blood sample collection: Blood samples were collected following a protocol (study number: 116284) approved by the Research Ethics Board (REB) of Western University.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Specifically, the Hill coefficient (h) was calculated from fitting agglutination data obtained using anti-S-RBD and anti-N antibodies to the Hill equation.
    anti-S-RBD
    suggested: None
    anti-N
    suggested: None
    Software and Algorithms
    SentencesResources
    S-RBD-ACE2 binding ELISA and surrogate neutralization assay: Statistical analysis: All statistical analyses were done using the GraphPad Prism9 software.
    GraphPad
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.11.30.20241208v1 on medRxiv