Creating a safe workplace by universal testing of SARS-CoV-2 infection in asymptomatic patients and healthcare workers in the electrophysiology units: a multi-center experience

  1. Sanghamitra Mohanty
  2. Dhanunjaya Lakkireddy
  3. Chintan Trivedi
  4. Bryan MacDonald
  5. Angel Quintero Mayedo
  6. Domenico G Della Rocca
  7. Donita Atkins
  8. Peter Park
  9. Alap Shah
  10. Rakesh Gopinathannair
  11. Amin Al-Ahmad
  12. John D. Burkhardt
  13. G J Gallinghouse
  14. Mohamed Bassiouny
  15. Luigi Di Biase
  16. David Kessler
  17. David Tschopp
  18. Paul Coffeen
  19. Rodney Horton
  20. Robert Canby
  21. Andrea Natale

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Abstract

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  1. Version published to 10.1007/s10840-020-00886-9
  2. ScreenIT

    SciScore for 10.1101/2020.07.14.20153494: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Nasopharyngeal swab was tested for viral RNA using ID NOW test kit from Abbott Diagnostics Scarborough, Inc., Maine.
    Abbott
    suggested: (Abbott, RRID:SCR_010477)
    The analysis was performed using SPSS Statistics 25.0 (IBM SPSS Inc., Chicago, IL, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04352764RecruitingANTIBODY BASED TESTS FOR SARSCoV-2 COVID-19) - Evaluation of…

    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 10.1101/2020.07.14.20153494v1 on medRxiv