Comparison of seven commercial SARS-CoV-2 rapid point-of-care antigen tests: a single-centre laboratory evaluation study

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Abstract

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  1. SciScore for 10.1101/2020.11.12.20230292: (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
    Statistical analysis: Logistic regression analyses were run using the PyMC3 package in Python (16).
    PyMC3
    suggested: (PyMC3, RRID:SCR_018547)
    Python
    suggested: (IPython, RRID:SCR_001658)

    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:
    Although many caveats remain, the point in the course of the first week of symptoms at which AgPOCT results turn negative may thus indicate the time at which infectivity resolves. In a situation marked by transition to higher incidence rates, the immediate availability of test results could enable novel public health concepts in which decisions to isolate or maintain isolation are based on infectivity testing rather than infection screening. Upon first patient contact, a positive result in AgPOCT could also help physicians decide on immediate isolation measures based on the identification of individuals who shed particularly large amounts of virus. In hospitalized patients at the end of their clinical course, negative AgPOCT results may provide an additional criterion to safely discharge patients. Screening of asymptomatic subjects with the expectation of absence of virus is more difficult. Given the limitations of sensitivity, the results of AgPOCT should be understood as a momentary assessment of infectiousness rather than a diagnosis with power to exclude infection. As there is a steep incline of virus concentration around or before the onset of symptoms, guidelines for using AgPOCT should mention that a negative test results may reflect a lack of sensitivity, particularly when symptoms occur short after testing. Instructions that limit the validity of a negative test result in healthy subjects to the day of application could be used to address this challenge. Also, the li...

    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.

  2. SciScore for 10.1101/2020.11.12.20230292: (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
    culture supernatants containing all endemic human coronaviruses Statistical analysis Logistic regression analyses were run using the PyMC3 package in Python (16).
    PyMC3
    suggested: (PyMC3, RRID:SCR_018547)
    Python
    suggested: (IPython, RRID:SCR_001658)

    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:

    Although many caveats remain, the point in the course of the first week of symptoms at which AgPOCT results turn negative may thus indicate the time at which infectivity resolves. In a situation marked by transition to higher incidence rates, the immediate availability of test results could enable novel public health concepts in which decisions to isolate or maintain isolation are based on infectivity testing rather than infection screening. Upon first patient contact, a positive result in AgPOCT could also help physicians decide on immediate isolation measures based on the identification of individuals who shed particularly large amounts of virus. In hospitalized patients at the end of their clinical course, negative AgPOCT results may provide an additional criterion to safely discharge patients. Screening of asymptomatic subjects with the expectation of absence of virus is more difficult. Given the limitations of sensitivity, the results of AgPOCT should be understood as a momentary assessment of infectiousness rather than a diagnosis with power to exclude infection. As there is a steep incline of virus concentration around or before the onset of symptoms, guidelines for using AgPOCT should mention that a negative test results may reflect a lack of sensitivity, particularly when symptoms occur short after testing. Instructions that limit the validity of a negative test result in healthy subjects to the day of application could be used to address this challenge. Also, the li...


    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.


    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.