Serologic responses to SARS-CoV-2 infection among hospital staff with mild disease in eastern France

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Abstract

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  1. SciScore for 10.1101/2020.05.19.20101832: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Following informed consent, participants completed a questionnaire which covered sociodemographic information, underlying medical conditions, and details related to SARSCoV-2 infection, including date of testing, date of symptom onset and a description of symptoms.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Serologic response measurement: All serum samples were tested for antibody responses to SARS-CoV-2 using two serologic assays: 1) a rapid immunodiagnostic assay detecting SARS-CoV-2 spike protein receptor binding domain (RBD) developed by Biosynex®; 2) the S-Flow assay, a flow-cytometry based assay that measures antibodies binding to the Spike protein (S) expressed at the surface of target cells [8].
    SARS-CoV-2 spike protein receptor binding domain (RBD
    suggested: None
    Statistical analyses: Seropositivity was defined as the presence of detectable anti-SARS-CoV-2 antibodies.
    anti-SARS-CoV-2
    suggested: None
    Software and Algorithms
    SentencesResources
    All analyses were performed using Stata (Stata Corp., College Station, Texas, USA) or GraphPad Prism 8 (GraphPad Software, LLC).
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    GraphPad
    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04325646RecruitingSero-epidemiological Study of the SARS-CoV-2 Virus Responsib…


    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.
    • Thank you for including a protocol registration statement.

    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.