Susceptibility-weighted imaging reveals cerebral microvascular injury in severe COVID-19

  1. John Conklin
  2. Matthew P. Frosch
  3. Shibani S. Mukerji
  4. Otto Rapalino
  5. Mary D. Maher
  6. Pamela W. Schaefer
  7. Michael H. Lev
  8. R.G. Gonzalez
  9. Sudeshna Das
  10. Samantha N. Champion
  11. Colin Magdamo
  12. Pritha Sen
  13. G. Kyle Harrold
  14. Haitham Alabsi
  15. Erica Normandin
  16. Bennett Shaw
  17. Jacob E. Lemieux
  18. Pardis C. Sabeti
  19. John A. Branda
  20. Emery N. Brown
  21. M. Brandon Westover
  22. Susie Y. Huang
  23. Brian L. Edlow

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Abstract

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  1. Version published to 10.1016/j.jns.2021.117308
  2. ScreenIT

    SciScore for 10.1101/2020.07.21.20159376: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This retrospective study was HIPAA compliant and was approved by the institutional review board with a waiver of consent.
    Consent: This retrospective study was HIPAA compliant and was approved by the institutional review board with a waiver of consent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Immunohistochemical staining was performed with a Leica Bond III automated stainer, with mouse monoclonal antibodies directed against neurofilament (Dako M0762, 1:3200), CD3 (Leica PA0553, used as supplied), CD163 (Leica Cat #PA 0090, used as supplied) and CD68 (Biocare Cat # IP-033-AA, also used as supplied).
    neurofilament (Dako M0762
    suggested: (Agilent Cat# M0762, RRID:AB_2314899)
    CD3
    suggested: None
    CD163
    suggested: None
    CD68
    suggested: None

    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.

    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 10.1101/2020.07.21.20159376v1 on medRxiv