Lung Abnormalities Detected with Hyperpolarized 129 Xe MRI in Patients with Long COVID

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Abstract

No abstract available

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  1. SciScore for 10.1101/2022.02.01.22269999: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Patient recruitment and screening: This study was given ethical approval by the Health Research Authority (UK, North West – Preston Research Ethics Committee, reference 20/NW/0235), and all participants gave informed consent.
    Consent: Patient recruitment and screening: This study was given ethical approval by the Health Research Authority (UK, North West – Preston Research Ethics Committee, reference 20/NW/0235), and all participants gave informed consent.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    BlindingImages were reviewed by a radiologist, blinded to clinical data and Xenon results, as previously described(3).
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    Results from OddPub: Thank you for sharing your data.


    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.

    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.