Impacts of the COVID-19 pandemic on a human research islet program

  1. Tina J. Dafoe
  2. Theodore Dos Santos
  3. Aliya F. Spigelman
  4. James Lyon
  5. Nancy Smith
  6. Austin Bautista
  7. Patrick E. MacDonald
  8. Jocelyn E. Manning Fox

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Abstract

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  1. Version published to 10.1080/19382014.2022.2047571
  2. ScreenIT

    SciScore for 10.1101/2021.12.24.474114: (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.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data sets and statistics: To report the impacts of the COVID-19 pandemic on ADI IsletCore’s operations, we reviewed data held in our database (REDCap 11.1.24) comparing two 19-month time periods: one beginning on the date of the ADI IsletCore’s first closure (March 12th, 2020, to October 12th, 2021: during COVID-19, abbreviated hereafter as DC), and one immediately prior to (September 12th, 2018, to March 11th, 2020; pre-COVID-19, abbreviated hereafter as PC).
    REDCap
    suggested: (REDCap, RRID:SCR_003445)

    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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).

    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 10.1101/2021.12.24.474114v1 on bioRxiv