Assessment of commercial SARS-CoV-2 antibody assays, Jamaica

  1. Tiffany R. Butterfield
  2. Alrica Bruce-Mowatt
  3. Yakima Z.R. Phillips
  4. Nicole Brown
  5. Keisha Francis
  6. Jabari Brown
  7. Jerome P. Walker
  8. Niel A.L. McKnight
  9. Kelvin Ehikhametalor
  10. Devon K. Taylor
  11. Carl A. Bruce
  12. Donovan McGrowder
  13. Gilian Wharfe
  14. Simone L. Sandiford
  15. Tamara K. Thompson
  16. Joshua J. Anzinger

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Abstract

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  1. Version published to 10.1016/j.ijid.2021.02.059
  2. ScreenIT

    SciScore for 10.1101/2020.09.27.20202655: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was approved by the UWI Mona Campus Research Ethics Committee (ECP 244 19/20).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    The specificity panel included serum samples testing positive for Zika virus IgM, chikungunya virus IgM, dengue virus IgM, CMV IgM, CMV IgG, EBV IgM, parvovirus B19 IgM, anti-HTLV-I/II, HIV Ag/Ab, HBsAg, anti-HCV, convalescent samples from patients seroconverting for influenza A or B virus antibodies, convalescent samples from patients with respiratory disease but without seroconversion for influenza A and B virus antibodies, healthy persons requesting vaccination status, and women seeking routine antenatal care (Supplementary Table).
    CMV IgM, CMV IgG
    suggested: None
    anti-HTLV-I/II
    suggested: None
    anti-HCV
    suggested: None
    Software and Algorithms
    SentencesResources
    Data were analyzed using IBM SPSS Statistics® for Windows version 20.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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 10.1101/2020.09.27.20202655v1 on medRxiv