Peripheral Artery Disease and COVID-19 Outcomes: Insights from the Yale DOM-CovX Registry

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.08.16.21262118: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This study was reviewed by the Yale Institutional Research Board and given the deidentified nature of the data, the research was deemed non-human subjects research.
    Sex as a biological variablenot detected.
    RandomizationKey features such as death were validated through manual chart review for a random sampling of patients.
    Blindingnot detected.
    Power Analysisnot 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:
    Our study’s limitations include a that our retrospective database review only included information encoded in patient medical records and had a possibility of underdiagnosed stroke, MI, or PAD. Furthermore, we encompassed a wide date range, with management strategies changing over time as the pandemic continued, for which our study design did not allow us to take these changes into account.

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.