Antibody responses to BNT162b2 mRNA COVID-19 vaccine and their predictors among healthcare workers in a tertiary referral hospital in Japan

  1. Takahiro Kageyama
  2. Kei Ikeda
  3. Shigeru Tanaka
  4. Toshibumi Taniguchi
  5. Hidetoshi Igari
  6. Yoshihiro Onouchi
  7. Atsushi Kaneda
  8. Kazuyuki Matsushita
  9. Hideki Hanaoka
  10. Taka-Aki Nakada
  11. Seiji Ohtori
  12. Ichiro Yoshino
  13. Hisahiro Matsubara
  14. Toshinori Nakayama
  15. Koutaro Yokote
  16. Hiroshi Nakajima

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Abstract

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  1. Version published to 10.1016/j.cmi.2021.07.042
  2. ScreenIT

    SciScore for 10.1101/2021.06.01.21258188: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All participants gave written informed consent before undergoing any study procedures.
    Field Sample Permit: The study procedures for sample collection and those for analyses were approved by Chiba University Ethics Committee on February 24th, 2021 (No. HS202101-03) and April 21st, 2021 (No. HS202104-01), respectively.
    IRB: The study procedures for sample collection and those for analyses were approved by Chiba University Ethics Committee on February 24th, 2021 (No. HS202101-03) and April 21st, 2021 (No. HS202104-01), respectively.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    This system allows for the quantitative detection of antibodies, predominantly IgG, aiming at the SARS-CoV-2 spike protein receptor-binding domain.
    SARS-CoV-2 spike protein receptor-binding domain.
    suggested: None
    Software and Algorithms
    SentencesResources
    We recruited healthcare workers in Chiba University Hospital who were receiving the BNT162b2 mRNA COVID-19 vaccine (Pfizer, Inc., and BioNTech) in our hospital vaccination program.
    BioNTech
    suggested: None
    Statistical analyses were performed using SPSS version 23.0 (IBM, Armonk, NY).
    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: We detected the following sentences addressing limitations in the study:
    Our study has some limitations. First, this is a single-center study in Japan with mostly Japanese subjects. Second, neutralizing antibody was not measured, although the assay we employed has been shown closely correlated with the titer of neutralizing antibody [12]. Third, most clinical information was collected with a questionnaire and cannot be verified. Nevertheless, we provide the largest data on antibody responses to the BNT162b2 mRNA COVID-19 vaccine in healthcare workers. Universally good responses demonstrated in our study further support the use of this vaccine in a wide range of populations and the predictive factors identified may help optimize the vaccination strategy and generate hypotheses for future studies.

    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2021.06.01.21258188v1 on medRxiv