Evaluation of a SARS-CoV-2 rapid antigen test: Potential to help reduce community spread?

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.12.04.20240283: (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 variablenot detected.
    Cell Line Authenticationnot detected.

    Table 2: Resources

    Experimental Models: Cell Lines
    SentencesResources
    Caco-2 cells were infected with different viral isolates (FFM1-FFM7) [15] at an MOI 0.1.
    Caco-2
    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: We detected the following sentences addressing limitations in the study:
    Limited clinical sample size is the major limitation of this study. Future efforts should aim to monitor frequent sampling of larger groups and to compare different rapid antigen tests, different sampling sites along with infectivity correlation in cell culture. Our results suggest that the rapid antigen test can detect SARS-CoV-2 infected individuals with high viral loads and has potential in determining highly contagious individuals. Despite low analytic sensitivity, rapid antigen tests are inexpensive and therefore can be used frequently for detecting infected individuals who are asymptomatic, pre-symptomatic and without known or suspected exposure to SARS-CoV-2 [24]. They can be beneficial in congregate settings, such as a long-term care facility or a correctional facility, workplace, or a school testing its students, faculty, and staff. Rapid antigen tests probably perform best during the early stages of SARS-CoV-2 infection when the viral load is higher.

    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.