Laboratory Diagnosis and Monitoring the Viral Shedding of SARS-CoV-2 Infection

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Abstract

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  1. SciScore for 10.1101/2020.02.11.20021493: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the Ethics Committees from Shenzhen Third People’s Hospital (SZTHEC2016001).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses were performed using GraphPad Prism.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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 also has some limitations. Firstly, all the included cases were CDC-confirmed NCP patients, which may result in bias of sample selection. Meanwhile, studies have shown that 2019-nCoV caused asymptomatic infection in some individuals 2,7,8, and information of such patients is missing in our study. Secondly, most of samples were collected after antiviral treatment, which may influence the viral shedding. Third, the number of BALF samples was limited, especially for the mild cases. So, it is necessary to include more BALF samples to draw a more precise conclusion on the differences of viral shedding between the severe and mild cases. In conclusion, sputum is most accurate for laboratory diagnosis of NCP, followed by nasal swabs, while throat swabs was not recommended for the diagnosis. Detection of viral RNAs in BLAF is necessary for the diagnosis and monitoring of viruses in severe cases. In addition, CT scan could serve as an important make up for the diagnosis of NCP. The NCP cases are rapidly increasing, and we hope that this study could provide useful information for the diagnosis and control of the 2019-nCoV infection.

    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.