Ethnic differences in SARS-CoV-2 infection and COVID-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England: an observational cohort study using the OpenSAFELY platform

  1. Rohini Mathur
  2. Christopher T Rentsch
  3. Caroline E Morton
  4. William J Hulme
  5. Anna Schultze
  6. Brian MacKenna
  7. Rosalind M Eggo
  8. Krishnan Bhaskaran
  9. Angel Y S Wong
  10. Elizabeth J Williamson
  11. Harriet Forbes
  12. Kevin Wing
  13. Helen I McDonald
  14. Chris Bates
  15. Seb Bacon
  16. Alex J Walker
  17. David Evans
  18. Peter Inglesby
  19. Amir Mehrkar
  20. Helen J Curtis
  21. Nicholas J DeVito
  22. Richard Croker
  23. Henry Drysdale
  24. Jonathan Cockburn
  25. John Parry
  26. Frank Hester
  27. Sam Harper
  28. Ian J Douglas
  29. Laurie Tomlinson
  30. Stephen J W Evans
  31. Richard Grieve
  32. David Harrison
  33. Kathy Rowan
  34. Kamlesh Khunti
  35. Nishi Chaturvedi
  36. Liam Smeeth
  37. Ben Goldacre

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Abstract

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  1. Version published to 10.1016/s0140-6736(21)00634-6
  2. ScreenIT

    SciScore for 10.1101/2020.09.22.20198754: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Software and Reproducibility: Data management was performed using Python 3.8 and SQL, and analysis was carried out using Stata 16.
    Python
    suggested: (IPython, RRID:SCR_001658)

    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 10.1101/2020.09.22.20198754v1 on medRxiv