Performance assessment of 11 commercial serological tests for SARS-CoV-2 on hospitalised COVID-19 patients

  1. C. Serre-Miranda
  2. C. Nobrega
  3. S. Roque
  4. J. Canto-Gomes
  5. C.S. Silva
  6. N. Vieira
  7. P. Barreira-Silva
  8. P. Alves-Peixoto
  9. J. Cotter
  10. A. Reis
  11. M. Formigo
  12. H. Sarmento
  13. O. Pires
  14. A. Carvalho
  15. D.Y. Petrovykh
  16. L. Diéguez
  17. J.C. Sousa
  18. N. Sousa
  19. C. Capela
  20. J.A. Palha
  21. P.G. Cunha
  22. M. Correia-Neves

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  1. ScreenIT

    SciScore for 10.1101/2020.08.06.20168856: (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 Ethics Committees of both participating Hospitals (Senhora da Oliveira Hospital: 25/2020; Braga
    Consent: An explanation of the project was provided to those individuals, and the ones that agreed to participate signed an informed consent form.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses were performed on GraphPad Prism version 8.4.3 (La Jolla, San Diego, CA, USA).
    GraphPad Prism
    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.

  2. Version published to 10.1016/j.ijid.2021.01.038
  3. Version published to 10.1101/2020.08.06.20168856v1 on medRxiv