Loss of Taste and Smell as Distinguishing Symptoms of Coronavirus Disease 2019

  1. Patrick Dawson
  2. Elizabeth M Rabold
  3. Rebecca L Laws
  4. Erin E Conners
  5. Radhika Gharpure
  6. Sherry Yin
  7. Sean A Buono
  8. Trivikram Dasu
  9. Sanjib Bhattacharyya
  10. Ryan P Westergaard
  11. Ian W Pray
  12. Dongni Ye
  13. Scott A Nabity
  14. Jacqueline E Tate
  15. Hannah L Kirking

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Abstract

In a household study, loss of taste and/or smell was the fourth most reported symptom (26/42 [62%]) among coronavirus disease 2019 (COVID-19) case patients and had the highest positive predictive value (83% [95% confidence interval [CI], 55%–95%) among household contacts. Olfactory and taste dysfunctions should be considered for COVID-19 case identification and testing prioritization.

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  1. Version published to 10.1093/cid/ciaa799
  2. ScreenIT

    SciScore for 10.1101/2020.05.13.20101006: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Informed consent was obtained from all participants, including index cases and their household members.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses were performed using SAS® Version 9.4, SAS Institute Inc., Cary, North Carolina.
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

  3. Version published to 10.1101/2020.05.13.20101006v1 on medRxiv