Longitudinal determination of BNT162b2 vaccine induced strongly binding SARS-CoV-2 IgG antibodies in a cohort of Romanian healthcare workers

  1. Mónika Korodi
  2. István Horváth
  3. Kinga Rákosi
  4. Zsuzsanna Jenei
  5. Gabriella Hudák
  6. Melinda Kákes
  7. Katalin Dallos-Fejér
  8. Enikő Simai
  9. Orsolya Páll
  10. Natalia Staver
  11. Violeta Briciu
  12. Mihaela Lupșe
  13. Mirela Flonta
  14. Ariana Almaș
  15. Victoria Birlutiu
  16. Claudia Daniela Lupu
  17. Andreea Magdalena Ghibu
  18. Dana Pianoschi
  19. Livia-Maria Terza
  20. Szilard N. Fejer

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Abstract

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  1. Version published to 10.1016/j.vaccine.2022.07.040
  2. Version published to 10.1101/2021.03.17.21253751v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.03.17.21253751: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Written and informed consent was obtained from all participants.
    IRB: The protocol was approved by the ethics committee of the Clinical Hospital of Infectious Diseases Cluj-Napoca.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableIn total, we present the results for 122 participants, 100 (82%) female.

    Table 2: Resources

    Antibodies
    SentencesResources
    These healthcare workers had tested subsequently positive for SARS-CoV-2 IgG antibodies before getting vaccinated.
    SARS-CoV-2 IgG
    suggested: None
    Software and Algorithms
    SentencesResources
    The p-values between various groups were calculated with the ttest_1samp and ttest_ind functions from the SciPy stats package.
    SciPy
    suggested: (SciPy, RRID:SCR_008058)
    Plots were created with the Seaborn package of Python. Development of the enzyme-linked immunosorbent (ELISA) assays:
    Python
    suggested: (IPython, RRID:SCR_001658)

    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.

  4. Version published to 10.1101/2021.03.17.21253751v1 on medRxiv