Causal associations between COVID-19 and atrial fibrillation: A bidirectional Mendelian randomization study

  1. Xiaoyu Zhang
  2. Biyan Wang
  3. Tao Geng
  4. Di Liu
  5. Qiuyue Tian
  6. Xiaoni Meng
  7. Qiaoyun Zhang
  8. Mengyang Jiang
  9. Yiqiang Zhang
  10. Manshu Song
  11. Wei Wang
  12. Youxin Wang
  13. Baoguo Wang

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Abstract

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  1. Version published to 10.1016/j.numecd.2021.11.010
  2. ScreenIT

    SciScore for 10.1101/2020.08.13.20174417: (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
    We only retained independent variants from each other based on European ancestry reference data from the 1000 Genomes Project (Linkage disequilibrium [LD], r2 threshold = 0.0001).
    1000 Genomes Project
    suggested: (1000 Genomes Project and AWS, RRID:SCR_008801)

    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: We detected the following sentences addressing limitations in the study:
    The limitations of the current study should be addressed. First, due to the limitation of data resource, stratified analyses or analyses adjusted for other covariates were impossible. In addition, it is hard to represent the universal conclusions for other ethnic groups based on European population. In conclusion, our study showed that AF might be a consequence rather than a risk factor of severe COVID-19, indicating that the future study should pay attention to the prognosis of severe COVID-19.

    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 10.1101/2020.08.13.20174417v1 on medRxiv