Dynamic profile of severe or critical COVID-19 cases

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Abstract

In December 2019, a cluster of acute respiratory illness, now known as SARS-CoV-2 pneumonia, occurred in Wuhan, China. World Health Organization (WHO) declared the rapidly spreading coronavirus outbreak a pandemic on March 11, 2020, acknowledging what has seemed clear for some time — the virus will likely spread to all countries on the globe. As of February 11, 2020, the Chinese Center for Disease Control and Prevention (China CDC) has officially reported that there are 2.0% (889) asymptomatic cases, 2.3% (1,023) death cases, and 80.9% mild cases among 44,672 confirmed cases. 51.4% (22,981) were male and 48.6% (21,691) were female. Lymphopenia, in particular T lymphopenia, was common among patients with SARS-COV-2 in the observation. A notable drop in CD4 and CD8 lymphocyte counts occurred early in the course of the syndrome and was associated with adverse outcomes. The appearing a phenomenon of lymphocyte depletion (PLD) suggested severe adverse outcomes. The outcome observed: 60% had discharged and 20% had die.

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  1. SciScore for 10.1101/2020.03.18.20038513: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This case series was approved by the institutional ethics board of Shanghai University of Medicine & Health Sciences (#2019-LCHZ-18-20190507).
    Consent: Written informed consent was waived due to the rapid emergence of this infectious disease.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Bovine serum albumin (BSA), and goat anti-human IgG and IgM antibodies, rabbit IgG and goat anti-rabbit IgG antibodies, and 50 nm gold nanoparticle (AuNP) colloids (753645) were obtained from Sigma-Aldrich.
    goat anti-human IgG
    suggested: None
    anti-human IgG
    suggested: None
    IgM
    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.