Clinical Characteristics and Risk Factors for Myocardial Injury and Arrhythmia in COVID-19 patients

  1. Hong Gang Ren
  2. Xingyi Guo
  3. Lei Tu
  4. Qinyong Hu
  5. Kevin Blighe
  6. Luqman Bin Safdar
  7. Justin Stebbing
  8. Shepard D Weiner
  9. Monte S Willis
  10. Frits R Rosendaal
  11. Guogang Xu
  12. Feng Cao
  13. Dao Weng Wang

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

The authors have withdrawn this manuscript because of a lack of novelty of results and, with that, a lack of intention to publish in a peer reviewed journal. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Article activity feed

  1. Version published to 10.1101/2020.11.30.20190926v2 on medRxiv
  2. ScreenIT

    SciScore for 10.1101/2020.11.30.20190926: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Oral informed consent was obtained from all subjects, and the institutional review boards of all participating institutions approved the study protocol.
    IRB: Oral informed consent was obtained from all subjects, and the institutional review boards of all participating institutions approved the study protocol.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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.
    • No funding statement was detected.
    • 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 10.1101/2020.11.30.20190926v1 on medRxiv