Favipiravir for the treatment of coronavirus disease 2019 pneumonia; a propensity score-matched cohort study

  1. Rand A. Alattar
  2. Shiema Abdalla
  3. Tasneem Abdallah
  4. Rashid Kazman
  5. Aseelah Qadmour
  6. Tawheeda Ibrahim
  7. Bassem Alhariri
  8. Shahd H. Shaar
  9. Abeer Bajwa
  10. Abeir Alimam
  11. Rabia Qazi
  12. Fatma Ben Abid
  13. Joanne Daghfal
  14. Ali Eldeeb
  15. Kinda Shukri
  16. Ahmed Elsayed
  17. Fatima Rustom
  18. Musaed Alsamawi
  19. Alaaeldin Abdelmajid
  20. Miguel A.P. Basulto
  21. Armando A.R. Cobian
  22. Mohamed Abukhattab
  23. Abdullatif Alkhal
  24. Muna A. Almaslamani
  25. Ali S. Omrani

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Abstract

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  1. Version published to 10.1016/j.jiph.2022.08.011
  2. ScreenIT

    SciScore for 10.1101/2021.11.29.21267042: (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.
    Randomizationnot detected.
    BlindingThe presence of radiological evidence of pneumonia was verified by two radiologists who were blinded to the patients’ study allocation.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses were performed using Stata Statistical Software Release 15.1 (StataCorp LLC, College Station, Texas).
    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: 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.

    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 10.1101/2021.11.29.21267042v1 on medRxiv