What about using sniffin’ sticks 12 items test to screen post-COVID-19 olfactory disorders?

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.06.06.21258430: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Population: The study was approved by the institutional review board of the Nice University Hospital (CNIL number: 412).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    BlindingDuring the identification SST test, subjects were blindfolded.
    Power Analysisnot 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:
    Despite these interesting results, this study suffers from some limitations. The main limitation concerns the small cohort of 54 patients, with no follow up reported, who spontaneously consulted our university hospital, which represents the risk of a recruitment bias. The small sample size may have contributed to a limited strength of correlations (rho(32) MAX = 0,49), and therefore our results cannot be directly generalized to all patients with a post-covid olfactory disorder and could be verified in a larger prospective cohort study.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04799977RecruitingCOVID-19: Post-covid Olfactory Disorders Assessment


    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.

    Results from scite Reference Check: We found no unreliable references.


    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.