Increased SARS-CoV-2 Testing Capacity with Pooled Saliva Samples

  1. Anne E. Watkins
  2. Eli P. Fenichel
  3. Daniel M. Weinberger
  4. Chantal B.F. Vogels
  5. Doug E. Brackney
  6. Arnau Casanovas-Massana
  7. Melissa Campbell
  8. John Fournier
  9. Santos Bermejo
  10. Rupak Datta
  11. Charles S. Dela Cruz
  12. Shelli F. Farhadian
  13. Akiko Iwasaki
  14. Albert I. Ko
  15. Nathan D. Grubaugh
  16. Anne L. Wyllie
  17. the Yale IMPACT Research Team2

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Abstract

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  1. Version published to 10.3201/eid2704.204200
  2. ScreenIT

    SciScore for 10.1101/2020.09.02.20183830: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Sample pooling: Saliva was collected as a part of the Yale IMPACT Biorepository5 from COVID-19 inpatients and healthcare workers at the Yale-New Haven Hospital (Yale Human Research Protection Program Institutional Review Boards FWA00002571, Protocol ID. 2000027690)5.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Sample pooling: Saliva was collected as a part of the Yale IMPACT Biorepository5 from COVID-19 inpatients and healthcare workers at the Yale-New Haven Hospital (Yale Human Research Protection Program Institutional Review Boards FWA00002571, Protocol ID. 2000027690)5.
    Yale Human Research Protection Program
    suggested: None
    Further statistical analyses were conducted in GraphPad Prism 8.0.0 as described in the text and figure legends.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    Results from OddPub: Thank you for sharing your code.

    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 10.1101/2020.09.02.20183830v1 on medRxiv