Evolution of antibodies against SARS-CoV-2 over seven months: Experience of the nationwide seroprevalence ENE-COVID study in Spain

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Abstract

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  1. SciScore for 10.1101/2021.03.11.21253142: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The Institutional Review Board of the Instituto de Salud Carlos III approved the study.
    Consent: Written informed consent was obtained from all participants.
    RandomizationBriefly, 1,500 census tracts, with up to 24 households per tract, were randomly selected via two-stage sampling stratified by province and municipality size.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    General study design and ENE-COVID study population: The ENE-COVID study is a nationwide, population-based cohort study of sero-prevalence, the general objectives of which were to i) estimate the prevalence of COVID-19 in the community-dwelling population of Spain by monitoring antibodies against SARS-CoV-2, and ii) evaluate evolutionary trends of antibodies over time.
    SARS-CoV-2
    suggested: None
    Software and Algorithms
    SentencesResources
    The SARS-CoV-2 IgG CMIA (Abbott Laboratories, Illinois, USA) allows qualitative detection of IgG directed against the nucleocapsid using serum obtained from venipuncture blood.
    Abbott Laboratories
    suggested: None
    The present study reports immunoassay serology results obtained using both the Abbott and Beckman assays.
    Abbott
    suggested: (Abbott, RRID:SCR_010477)
    Statistical analyses were performed using GraphPad Prism software v.7.02
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    GraphPad Software Inc.
    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: 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.