Saliva sample as a non-invasive specimen for the diagnosis of coronavirus disease 2019: a cross-sectional study

  1. E. Pasomsub
  2. S.P. Watcharananan
  3. K. Boonyawat
  4. P. Janchompoo
  5. G. Wongtabtim
  6. W. Suksuwan
  7. S. Sungkanuparph
  8. A. Phuphuakrat

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Abstract

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  1. Version published to 10.1016/j.cmi.2020.05.001
  2. ScreenIT

    SciScore for 10.1101/2020.04.17.20070045: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: The study protocol was reviewed and approved by the Ethical Clearance Committee on Human Right Related to Research Involving Human Subjects of the Faculty of Medicine Ramathibodi Hospital, Mahidol University.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were performed using Stata statistical software version 15.1 (StataCorp, College Station, TX, 2018).
    Stata statistical
    suggested: None
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    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:
    As for the limitations, two specimens had detectable of SARS-CoV-2 from saliva samples, but were undetectable from nasopharyngeal and throat swab. The significance of these positive results are unknown since we do not have clinical data on any follow-up of these patients. With the current situation of a shortage supply of personal protective equipment during the pandemic and moderate risk of infection among healthcare workers, a saliva sample is an alternative specimen collection for the diagnosis of COVID-19, especially in resource-limited settings.

    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 10.1101/2020.04.17.20070045 on medRxiv