SARS-CoV-2 detection by nasal strips: A superior tool for surveillance of paediatric population

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.10.28.20220673: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    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:
    There are several limitations in this study. This prospective study presents the cross-sectional data performed in a single hospital and limited to the performance comparisons with the results of NPSTS and DTS, which are not perfect standard tests. The clinical sample pairs (n = 6) that underwent 24- to 72-hour RT storage remained stable in terms of viral detection. However, the involvement of protease and RNase activity of individual subjects and its contribution to sample stability was not fully elucidated. Moreover, we did not evaluate the quality of the sample in a genuine home to laboratory scenario. If extended sample transportation period is necessary, stabilization buffer e.g. RNAlater might be needed. Lastly, the current method provided detection of SARS-CoV-2 at the gene level but no information was obtained regarding the infectious titer.

    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.