Comparison of Severe Acute Respiratory Syndrome Coronavirus 2 Screening Using Reverse Transcriptase–Quantitative Polymerase Chain Reaction or CRISPR-Based Assays in Asymptomatic College Students

  1. Jennifer N. Rauch
  2. Eric Valois
  3. Jose Carlos Ponce-Rojas
  4. Zach Aralis
  5. Ryan S. Lach
  6. Francesca Zappa
  7. Morgane Audouard
  8. Sabrina C. Solley
  9. Chinmay Vaidya
  10. Michael Costello
  11. Holly Smith
  12. Ali Javanbakht
  13. Betsy Malear
  14. Laura Polito
  15. Stewart Comer
  16. Katherine Arn
  17. Kenneth S. Kosik
  18. Diego Acosta-Alvear
  19. Maxwell Z. Wilson
  20. Lynn Fitzgibbons
  21. Carolina Arias

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  1. ScreenIT

    SciScore for 10.1101/2020.08.06.20169771: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Sample collection: UCSB healthcare professionals collected informed consent and demographic data (age, address, telephone, gender, and UCSB affiliation) at the sampling locale.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    One-way ANOVA with a post-hoc Dunnett’s test was used to determine the Cq value significance from no template control using Prism v8 software (Graphpad).
    Prism
    suggested: (PRISM, RRID:SCR_005375)
    Graphpad
    suggested: (GraphPad, RRID:SCR_000306)

    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.

  2. Version published to 10.1001/jamanetworkopen.2020.37129
  3. Version published to 10.1101/2020.08.06.20169771v3 on medRxiv
  4. Version published to 10.1101/2020.08.06.20169771v2 on medRxiv
  5. Version published to 10.1101/2020.08.06.20169771v1 on medRxiv