Clinical evaluation of the molecular-based BD SARS-CoV-2/Flu for the BD MAX™ system

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.02.23.21251915: (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

    Software and Algorithms
    SentencesResources
    “MAX SARS-CoV-2/Flu;” Becton, Dickinson and Company; BD Life Sciences—Integrated Diagnostics Solutions, Sparks, MD, USA) with reference methods, BD BioGx SARS-CoV-2 Reagents for BD MAX™ System (“BioGx
    BD BioGx
    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:
    Limitations: This research was conducted by using materials obtained from pre-selected frozen remnants, received after routine care. A study involving prospective collection would better inform on the positive and negative predictive values of the assay. Conclusions: The MAX SARS-CoV-2/Flu assays met US FDA-EUA acceptance criteria for SARS-CoV-2 and Flu A/B detection. Dual detection of the etiologic agents causing COVID-19 and influenza will allow differentiation for those exhibiting common symptoms between the two diseases. This assay should help optimize patient management by decreasing the time and resources required for dual testing. Ultimately, the dual detection method should facilitate an informed decision by physicians on the appropriate treatment for patients exhibiting similar symptoms between the two diseases.

    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.