Test Agreement between Roche Cobas 6800 and Cepheid GeneXpert Xpress SARS-CoV-2 Assays at High Cycle Threshold Ranges

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.05.05.078501: (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.

    Table 2: Resources

    No key resources detected.


    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:
    Limitations of this study include sample size, location within a single institutional system, and proprietary manufacturer information, including differences in E gene target sequence. Further studies are required to confirm percent agreement across different platforms and specimen types to expand on our findings. This is of particular importance as there is a lack of standardization of reference materials and quantitfication (copies/vol, TCID50, etc) for LoD determination. Overall, the Cepheid GeneXpert Xpress SARS-CoV-2 assay and the Roche cobas 6800 SARS-CoV-2 assay showed a high level of agreement among patients with high Ct values. This allows for the laboratories to utilize both assays concurrently as fits with local testing algorithms.

    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.
    • No funding statement was detected.
    • 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.