No Evidence for Reduced Hospital Admissions or Increased Deaths from Stroke or Heart Attack During COVID-19

  1. Katharine Reeves
  2. Samuel Watson
  3. Tanya Pankhurst
  4. Kamlesh Khunti
  5. Suzy Gallier
  6. Magdalena Skrybant
  7. Peter J Chilton
  8. Richard J Lilford

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Abstract

Articles in the UK press have claimed that hospital admissions for heart attack and stroke have declined during the COVID-19 pandemic. However, data from the West Midlands Ambulance Service have not shown any reduction in call-outs for patients with stroke or ST-Elevation Myocardial Infarction. This study examined data from University Hospital Birmingham NHS Foundation Trust, comparing admissions from week 1 of 2016 to week 17 of 2019, with the same period in 2020, pre- and post-lockdown. The results showed that there was no evidence of a reduction in the overall mean number of admissions of patients with these conditions in the post-lockdown period.

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  1. ScreenIT

    SciScore for 10.1101/2020.06.08.20119636: (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

    No key resources detected.

    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.

  2. Version published to 10.1101/2020.06.08.20119636 on medRxiv