Clinical characteristics and outcomes of COVID-19 patients with diabetes mellitus in Kuwait

  1. Abdullah Alshukry
  2. Mohammad Bu Abbas
  3. Yaseen Ali
  4. Barrak Alahmad
  5. Abdullah A. Al-Shammari
  6. Ghadeer Alhamar
  7. Mohammad Abu-Farha
  8. Jehad AbuBaker
  9. Sriraman Devarajan
  10. Ali A. Dashti
  11. Fahd Al-Mulla
  12. Hamad Ali

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Abstract

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  1. Version published to 10.1016/j.heliyon.2021.e06706
  2. ScreenIT

    SciScore for 10.1101/2020.08.20.20178525: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: 2.1 Study design: The Standing Committee for Coordination of Health and Medical Research at the Ministry of Health in Kuwait reviewed and approved this retrospective study (Institutional Review Board 2020/1404).
    Consent: The Standing Committee waived the requirement for written informed consent because of the urgency of data collection and the exceptional nature of the disease.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were performed using GraphPad Prism software (La Jolla, CA, USA), SPSS (Statistical Package for Social Sciences) for Windows version 25.0 (IBM SPSS Inc., Chicago, IL, USA) and R version 3.4.3 (R Foundation for Statistical Computing, Vienna, Austria).
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    One of the major limitations of this study was the lack of BMI cohort data. Adiposity could be a strong predictor in such settings.

    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.

  3. Version published to 10.1101/2020.08.20.20178525 on medRxiv