Clinical characteristics and short term outcomes after recovery from COVID-19 in patients with and without diabetes in Bangladesh

  1. Farhana Akter
  2. Adnan Mannan
  3. H.M. Hamidullah Mehedi
  4. Md. Abdur Rob
  5. Shakeel Ahmed
  6. Asma Salauddin
  7. Md. Shakhawat Hossain
  8. Md. Mahbub Hasan

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  1. ScreenIT

    SciScore for 10.1101/2020.09.24.20200790: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: 2.7 Exclusion Criteria: Deceased patients and those who had no interest in participation or had concerns and disagreed to provide consent were excluded.
    IRB: 2.8 Ethical Consideration: Preceding the interview, verbal consent was taken from the subjects while a written consent waiver was received from Institutional Review Board (IRB) for this study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were conducted using SPSS Statistics 25 (IBM, Armonk
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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.

    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.

  2. Version published to 10.1016/j.dsx.2020.10.016
  3. Version published to 10.1101/2020.09.24.20200790 on medRxiv