Effective presence of antibodies against common human coronaviruses in immunoglobulin medicinal products

  1. José María Díez
  2. Carolina Romero
  3. Rodrigo Gajardo

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Abstract

No abstract available

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  1. Version published to 10.1016/j.ijid.2021.12.329
  2. ScreenIT

    SciScore for 10.1101/2021.07.23.453571: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    MRC5 cells (ATCC CCL-171™, Manassas, VA, USA) in confluent culture in 96-well microtiter plates were infected with 200 μL per well of virus/antibody mixture.
    MRC5
    suggested: ATCC Cat# CCL-171, RRID:CVCL_0440)
    Software and Algorithms
    SentencesResources
    Concentration-effect curves were generated and IC50 values were calculated using a GraphPad Prism software (Version 9.1.0 for Windows, GraphPad Software, San Diego, California USA).
    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: 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.
    • No funding statement was detected.
    • 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 10.1101/2021.07.23.453571v1 on bioRxiv