Proton-pump inhibitor use is not associated with severe COVID-19-related outcomes: a propensity score-weighted analysis of a national veteran cohort

  1. Shailja Shah
  2. Alese Halvorson
  3. Brandon McBay
  4. Chad Dorn
  5. Otis Wilson
  6. Sony Tuteja
  7. Kyong-Mi Chang
  8. Kelly Cho
  9. Richard Hauger
  10. Ayako Suzuki
  11. Christine Hunt
  12. Edward Siew
  13. Michael Matheny
  14. Adriana Hung
  15. Robert Greevy
  16. Christianne Roumie

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Abstract

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  1. Version published to 10.1136/gutjnl-2021-325701
  2. ScreenIT

    SciScore for 10.1101/2021.07.22.21258785: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This study was approved by the Veterans Affairs (VA) Tennessee Valley Healthcare system institutional review board and Research and Development Committees with a waiver of informed consent.
    Consent: This study was approved by the Veterans Affairs (VA) Tennessee Valley Healthcare system institutional review board and Research and Development Committees with a waiver of informed consent.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: This domain uses case definitions, concept definitions, data mappings, and other information developed from data sources that are verified, validated, and updated collaboratively across the VHA.

    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.
    • Thank you for including a protocol registration statement.

    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 10.1101/2021.07.22.21258785v1 on medRxiv