Preliminary evidence on long COVID in children

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.01.23.21250375: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: This study was approved by the Institutional Ethics Committee and all participants consented to participate.
    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:
    Limitations of the study include the single-center design with a relatively small sample size. All patients were interviewed once, however this study is designed to continue periodic assessments until 24 months after COVID-19 diagnosis and to include household members of different age groups, with or without COVID-19 as a control group. Children have been mostly overlooked during this pandemic, since the clinical course of COVID-19 in this group is much milder than in adults (4). However, there is an increasing evidence that restrictive measures aimed at limiting the pandemic are having a significant impact on child’s mental health (5). Childhood is a delicate and fundamental period of life, critical for acquisition of social, behavioral and educational development. The evidence that COVID-19 can have long-term impact children as well, including those with asymptomatic/paucisymptomatic COVID-19, highlight the need for pediatricians, mental health experts and policy makers of implementing measures to reduce impact of the pandemic on child’s health.

    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.