Cardiometabolic Traits, Sepsis, and Severe COVID-19

  1. Mark J. Ponsford
  2. Apostolos Gkatzionis
  3. Venexia M. Walker
  4. Andrew J. Grant
  5. Robyn E. Wootton
  6. Luke S.P. Moore
  7. Segun Fatumo
  8. Amy M. Mason
  9. Verena Zuber
  10. Cristen Willer
  11. Humaira Rasheed
  12. Ben Brumpton
  13. Kristian Hveem
  14. Jan Kristian Damås
  15. Neil Davies
  16. Bjørn Olav Åsvold
  17. Erik Solligård
  18. Simon Jones
  19. Stephen Burgess
  20. Tormod Rogne
  21. Dipender Gill

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Abstract

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  1. Version published to 10.1161/circulationaha.120.050753
  2. ScreenIT

    SciScore for 10.1101/2020.06.18.20134676: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: All analyses were performed using the MendelianRandomization package in R.42 Ethical approval, data availability and reporting: The data used in this work obtained relevant participant consent and ethical approval.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were performed using the MendelianRandomization package in R.42 Ethical approval, data availability and reporting: The data used in this work obtained relevant participant consent and ethical approval.
    MendelianRandomization
    suggested: None

    Results from OddPub: Thank you for sharing your code.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study also has limitations, including that the findings currently lack external validity. Specifically, our investigation was conducted in European ancestry participants, and the findings may not necessarily apply to other ethnic groups. It is also important to appreciate that this MR study considers the lifelong effect of genetic modification of cardiometabolic traits, which is not the same as a clinical or public health intervention to modify them. The MR effect estimates should therefore not be directly extrapolated for this purpose, but should rather be used as evidence to support a causal relationship. Although we explored the association of genetically proxied T2DM liability with risk of sepsis, we were not able to explore genetically proxied T2DM itself, as this is a binary trait.66 Thus, there may be a causal relationship between diabetes (or glycaemic control) with sepsis risk that our study design is unable to uncover. Indeed, in a retrospective cohort study of the UK Clinical Practice Research Database, patients with evidence of poor glycaemic control (with mean HbA1c ≥ 11%, or 96.7mmol/mol) were almost three times as likely to be hospitalized with infection as age- and sex-matched non-diabetics.67 Finally, our study also had limited statistical power, as apparent from the confidence intervals of the result. Larger genetic analyses of sepsis and severe covid-19 in the future may offer the opportunity to improve on this. In conclusion, we leveraged large-scale g...

    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 10.1101/2020.06.18.20134676v1 on medRxiv