Clinical and epidemiological characteristics of pediatric SARS-CoV-2 infections in China: A multicenter case series

  1. Che Zhang
  2. Jiaowei Gu
  3. Quanjing Chen
  4. Na Deng
  5. Jingfeng Li
  6. Li Huang
  7. Xihui Zhou

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  1. Version published to 10.1371/journal.pmed.1003130
  2. ScreenIT

    SciScore for 10.1101/2020.03.12.20034686: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Study Design and Participants: This retrospective, observational study was approved by the institutional review board (IRB) of Affiliated Taihe Hospital of Hubei University of Medicine (Ethical approval No.2020KY01).
    Consent: Informed consent was obtained from the patients and their guardians prior to data collection.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.
    Cell Line AuthenticationContamination: In particular, other respiratory pathogens were detected for differential diagnosis screening, including influenza A virus, influenza B virus, parainfluenza virus, respiratory syncytial virus, adenovirus, epstein-barr virus, and mycoplasma pneumoniae.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Analysis: Descriptive statistics were performed using SPSS software (version 20.0, IBM, Armonk, NY, 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: 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 10.1101/2020.03.12.20034686v1 on medRxiv