Kinetics of SARS-CoV-2 anti-S IgG after BNT162b2 vaccination

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.03.03.21252844: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the MHS’s institutional review board.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Healthcare workers over the age of 18 were serially tested for SARS-CoV-2 specific anti-s antibodies between January 14, 2020 and February 24, 2021 (six weeks).
    anti-s
    suggested: None
    Software and Algorithms
    SentencesResources
    Laboratory methods: SARS-CoV-2 serology testing was performed with Quant II IgG anti-Spike 2-CoV-SARS by Abbott (Illinois, U.S.A.) and reported as AU/mL (Arbitrary units).
    Abbott
    suggested: (Abbott, RRID:SCR_010477)
    Statistical Analyses: Data were analyzed using the logarithm of the results (means and standard deviations were computed for log (Result)). Mann–Whitney U test was used to ascertain the difference in serological response between age groups using SPSS version 23 (IBM inc.).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Two-sided confidence interval for weighted mean of data was calculated using Python.
    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: We detected the following sentences addressing limitations in the study:
    This study has several limitations. The available cohort is small and not representative of the general population (especially male to female ratio). Moreover, serological test used measures only anti-s IgG.

    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.