Comparison between Patients Hospitalized with Influenza and COVID-19 at a Tertiary Care Center

  1. Michael W. Donnino
  2. Ari Moskowitz
  3. Garrett S. Thompson
  4. Stanley J. Heydrick
  5. Rahul D Pawar
  6. Katherine M. Berg
  7. Shivani Mehta
  8. Parth V. Patel
  9. Anne V. Grossestreuer

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Abstract

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  1. Version published to 10.1007/s11606-021-06647-2
  2. ScreenIT

    SciScore for 10.1101/2020.08.19.20163857: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was reviewed by the Institutional Review Board at Beth Israel Deaconess Medical Center, which determined the study met exempt status.
    Consent: Written informed consent was therefore not required.
    RandomizationFor other variables (e.g., laboratory values), a sample of randomly chosen data was verified using manual chart review.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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.

  3. Version published to 10.1101/2020.08.19.20163857v1 on medRxiv