Comparative study of the lymphocyte change between COVID-19 and non-COVID-19 pneumonia cases suggesting uncontrolled inflammation might not be the main reason of tissue injury

  1. Yishan Zheng
  2. Zhen Huang
  3. Guoping Yin
  4. Xia Zhang
  5. Wei Ye
  6. Zhiliang Hu
  7. Chunmei Hu
  8. Hongxia Wei
  9. Yi Zeng
  10. Yun Chi
  11. Cong Cheng
  12. Feishen Lin
  13. Hu Lu
  14. Lingyan Xiao
  15. Yan Song
  16. Chunming Wang
  17. Yongxiang Yi
  18. Lei Dong

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Abstract

The authors have withdrawn this manuscript because the statistical methods in our manuscript need to be modified and we are going to improve the statistical methods and try to give more precise model. 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.

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    SciScore for 10.1101/2020.02.19.20024885: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: This study was approved by the ethics committee of the Second Hospital of Nanjing, with written informed consent obtained from each patient.
    Consent: This study was approved by the ethics committee of the Second Hospital of Nanjing, with written informed consent obtained from each patient.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Finally, the samples were examined by a flow cytometry analyzer (BD FACSCalibur, BD Biosciences, San Jose, CA, USA).
    BD FACSCalibur
    suggested: (BD FACSCalibur Flow Cytometry System, RRID:SCR_000401)
    Spearman correlation analysis between the blood cell subgroups and the blood biochemical indexes were conducted using SPSS 19.0.
    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: 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.

  2. Version published to 10.1101/2020.02.19.20024885 on medRxiv