Inhaled corticosteroids for outpatients with COVID-19: a meta-analysis

  1. Todd C. Lee
  2. Émilie Bortolussi-Courval
  3. Sara Belga
  4. Nick Daneman
  5. Adrienne K. Chan
  6. Ryan Hanula
  7. Nicole Ezer
  8. Emily G. McDonald

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Abstract

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  1. Version published to 10.1183/13993003.02921-2021
  2. Version published to 10.1101/2021.11.04.21265945v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.11.04.21265945: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    RandomizationWe used the secondary outcome result of complete resolution of symptoms by Day 14 which was conserved between all four completed and reported inhaled corticosteroid randomized controlled trials: STOIC [1], PRINCIPLE [2], CONTAIN [4], and Covis Pharma [5].
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Using STATA version 17 and the metan command, we performed a random effects meta- analysis for these outcomes.
    STATA
    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: 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.

  4. Version published to 10.1101/2021.11.04.21265945v1 on medRxiv