The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany

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Abstract

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  1. SciScore for 10.1101/2020.05.14.20101998: (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 prior approved by the institutional review board and carried out between March 2020 and April 2020, including all patients with SARS-CoV-2, who presented at the emergency department of our institution or were transferred from other sites.
    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: We detected the following sentences addressing limitations in the study:
    The present study also has some limitations, that should be noted: First, it is single-centre design with a relatively small sample size. Second, the study design is retrospective, which can estimate associations, but is incapable of evaluating the temporal sequence. At the end of the observation time many patients were still hospitalized with open final course of the disease. Finally, co-morbidities as well as mortality was not considered and will have to be investigated in larger studies in the future. Conclusion: Going beyond the recently established correlation between BMI-based general obesity and severe courses of COVID-19, our results suggest that body fat distribution is also decisive, with visceral adipose tissue and upper abdominal circumference independently increasing the risk for severe courses of COVID-19. Hence, CT-based quantification of visceral adipose tissue might be used as a simple tool for risk assessment in SARS-CoV-2 patients from routinely acquired chest CTs.

    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

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