Lung transplantation for patients with severe COVID-19

  1. Ankit Bharat
  2. Melissa Querrey
  3. Nikolay S. Markov
  4. Samuel Kim
  5. Chitaru Kurihara
  6. Rafael Garza-Castillon
  7. Adwaiy Manerikar
  8. Ali Shilatifard
  9. Rade Tomic
  10. Yuliya Politanska
  11. Hiam Abdala-Valencia
  12. Anjana V. Yeldandi
  13. Jon W. Lomasney
  14. Alexander V. Misharin
  15. G. R. Scott Budinger

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Abstract

Some patients with severe COVID-19 develop end-stage pulmonary fibrosis for which lung transplantation may be the only treatment.

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  1. ScreenIT

    SciScore for 10.1101/2020.10.26.20218636: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Human Subjects: This study was approved by the Institutional Review Board of Northwestern University STU00212120, STU00213177, STU00212511 and STU00212579.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: Thank you for sharing your data.

    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: Please consider improving the rainbow (“jet”) colormap(s) used on pages 10 and 13. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    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.

  2. Version published to 10.1126/scitranslmed.abe4282
  3. Version published to 10.1101/2020.10.26.20218636v1 on medRxiv