Famotidine Use Is Associated With Improved Clinical Outcomes in Hospitalized COVID-19 Patients: A Propensity Score Matched Retrospective Cohort Study

  1. Daniel E. Freedberg
  2. Joseph Conigliaro
  3. Timothy C. Wang
  4. Kevin J. Tracey
  5. Michael V. Callahan
  6. Julian A. Abrams
  7. Magdalena E. Sobieszczyk
  8. David D. Markowitz
  9. Aakriti Gupta
  10. Max R. O’Donnell
  11. Jianhua Li
  12. David A. Tuveson
  13. Zhezhen Jin
  14. William C. Turner
  15. Donald W. Landry

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  1. Version published to 10.1053/j.gastro.2020.05.053
  2. ScreenIT

    SciScore for 10.1101/2020.05.01.20086694: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was approved by the institutional review board of the Columbia University Irving Medical Center.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were performed using STATA statistical software (version 14, StataCorp) at the α = .
    STATA
    suggested: (Stata, RRID:SCR_012763)
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04370262CompletedMulti-site Adaptive Trials for COVID-19

    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 10.1101/2020.05.01.20086694v2 on medRxiv
  4. Version published to 10.1101/2020.05.01.20086694v1 on medRxiv