Tissue-Specific Immunopathology in Fatal COVID-19

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.07.02.20145003: (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 variableThe patients had a mean age of 77 years (range 64–97), 10/11 were male, and four received invasive mechanical ventilation during their hospital admission.

    Table 2: Resources

    Antibodies
    SentencesResources
    For immunophenotyping, multiplexed immunofluorescence on de-paraffinised rehydrated FFPE slides was performed using combinations of primary antibodies against CD34, CD68, MRP8, CD4, CD8 and CD20, labelled with TSA-conjugated fluorophores, with antibody removal between steps.
    CD34
    suggested: None
    CD68
    suggested: None
    MRP8
    suggested: None
    CD4
    suggested: None
    CD8
    suggested: None
    CD20
    suggested: None

    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.