Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients

  1. Jing Liu
  2. Sumeng Li
  3. Jia Liu
  4. Boyun Liang
  5. Xiaobei Wang
  6. Hua Wang
  7. Wei Li
  8. Qiaoxia Tong
  9. Jianhua Yi
  10. Lei Zhao
  11. Lijuan Xiong
  12. Chunxia Guo
  13. Jin Tian
  14. Jinzhuo Luo
  15. Jinghong Yao
  16. Ran Pang
  17. Hui Shen
  18. Cheng Peng
  19. Ting Liu
  20. Qian Zhang
  21. Jun Wu
  22. Ling Xu
  23. Sihong Lu
  24. Baoju Wang
  25. Zhihong Weng
  26. Chunrong Han
  27. Huabing Zhu
  28. Ruxia Zhou
  29. Helong Zhou
  30. Xiliu Chen
  31. Pian Ye
  32. Bin Zhu
  33. Lu Wang
  34. Wenqing Zhou
  35. Shengsong He
  36. Yongwen He
  37. Shenghua Jie
  38. Ping Wei
  39. Jianao Zhang
  40. Yinping Lu
  41. Weixian Wang
  42. Li Zhang
  43. Ling Li
  44. Fengqin Zhou
  45. Jun Wang
  46. Ulf Dittmer
  47. Mengji Lu
  48. Yu Hu
  49. Dongliang Yang
  50. Xin Zheng

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  1. ScreenIT

    SciScore for 10.1101/2020.02.16.20023671: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Data collection: A written informed consent was regularly obtained from all patients upon admission into Wuhan Union Hospital, China.
    IRB: The study was approved by the Ethics Committee of Tongji Medical College of Huazhong University of Science and Technology.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SPSS statistical software (Macintosh version 26.0, IBM, Armonk, NY, USA) and R package are used for statistical analysis.
    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.
    • 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 10.1016/j.ebiom.2020.102763
  3. Version published to 10.1101/2020.02.16.20023671v2 on medRxiv
  4. Version published to 10.1101/2020.02.16.20023671v1 on medRxiv