Impact of the COVID-19 pandemic on asthma exacerbations in children: A multi-center survey using an administrative database in Japan

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.11.29.20240374: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Study population: The study was conducted after obtaining approval from the Kyoto University Hospital Ethics committee of the Kyoto University Graduate School and Faculty of Medicine, according to the guidelines on medical and epidemiological research (No. R0135).
    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: We detected the following sentences addressing limitations in the study:
    Our study had several limitations. QIP hospitals represented a limited number of hospitals in Japan. Therefore, it is difficult to generalize our results to nationwide pediatric asthma patients. However, a previous study15 for adult’s asthma patients showed similar results to ours. Therefore, we consider that our findings also have validity for inpatients. Although most outpatients with asthma usually visit clinics, acute hospitals such as QIP hospitals treat patients who have other comorbidities or follow the acute phase for asthma. Finally, we had no data about air pollution in Japan.

    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.