Saliva or Nasopharyngeal Swab Specimens for Detection of SARS-CoV-2

  1. Anne L. Wyllie
  2. John Fournier
  3. Arnau Casanovas-Massana
  4. Melissa Campbell
  5. Maria Tokuyama
  6. Pavithra Vijayakumar
  7. Joshua L. Warren
  8. Bertie Geng
  9. M. Catherine Muenker
  10. Adam J. Moore
  11. Chantal B.F. Vogels
  12. Mary E. Petrone
  13. Isabel M. Ott
  14. Peiwen Lu
  15. Arvind Venkataraman
  16. Alice Lu-Culligan
  17. Jonathan Klein
  18. Rebecca Earnest
  19. Michael Simonov
  20. Rupak Datta
  21. Ryan Handoko
  22. Nida Naushad
  23. Lorenzo R. Sewanan
  24. Jordan Valdez
  25. Elizabeth B. White
  26. Sarah Lapidus
  27. Chaney C. Kalinich
  28. Xiaodong Jiang
  29. Daniel J. Kim
  30. Eriko Kudo
  31. Melissa Linehan
  32. Tianyang Mao
  33. Miyu Moriyama
  34. Ji E. Oh
  35. Annsea Park
  36. Julio Silva
  37. Eric Song
  38. Takehiro Takahashi
  39. Manabu Taura
  40. Orr-El Weizman
  41. Patrick Wong
  42. Yexin Yang
  43. Santos Bermejo
  44. Camila D. Odio
  45. Saad B. Omer
  46. Charles S. Dela Cruz
  47. Shelli Farhadian
  48. Richard A. Martinello
  49. Akiko Iwasaki
  50. Nathan D. Grubaugh
  51. Albert I. Ko

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  2. Version published to 10.1056/nejmc2016359
  3. ScreenIT

    SciScore for 10.1101/2020.04.16.20067835: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementDemographics , clinical data and samples were only collected after the study participant had acknowledged that they had understood the study protocol and signed the informed consent .Randomizationnot detected.Blindingnot detected.Power Analysisnot detected.Sex as a biological variableHealthcare worker cohort All study participants ( n=98 ) Participants with matching samples ( n=33 ) Gender , male 16 ( 16 % ) 5 ( 15 % ) Age range , years ( average ) 22-67 ( 36

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis Statistical analyses were conducted in GraphPad Prism 8.0.0 as described in the Results.
    GraphPad Prism
    suggested: (GraphPad Prism, SCR_002798)

    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).

    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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, including references cited, please follow this link.

  4. Version published to 10.1101/2020.04.16.20067835 on medRxiv