COVID-19 in Brazilian children and adolescents: findings from 21 hospitals / COVID-19 em crianças e adolescentes brasileiros: registros de 21 hospitais

  1. Priscila Menezes Ferri Liu
  2. Maria do Carmo Barros De Melo
  3. Lilian Martins Oliveira Diniz
  4. Cristiane dos Santos Dias
  5. André Soares de Moura Costa
  6. Bárbara Lopes Farace
  7. Carla Thais Candida Alves Da Silva
  8. Fernando Anschau
  9. Fernando Graça Aranha
  10. Guilherme Fagundes Nascimento
  11. Helena Duani
  12. Jamille Hemétrio Salles Martins Costa
  13. Karen Brasil Ruschel
  14. Matheus Carvalho Alves Nogueira
  15. Neimy Ramos De Oliveira
  16. Roberta Pozza
  17. Saionara Cristina Francisco
  18. Thalita Martins Lage
  19. Yuri Carlotto Ramires
  20. Daniella Nunes Pereira
  21. Zilma Silveira Nogueira Reis
  22. José Miguel Chatkin
  23. Milena Soriano Marcolino

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Abstract

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  1. Version published to 10.34117/bjdv7n9-011
  2. ScreenIT

    SciScore for 10.1101/2021.08.08.21261510: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study has been conducted according to a predefined protocol and was approved by the National Commission for Research Ethics (CAAE 30350820.5.1001.0008).8 Due to the state of pandemic and to the fact that data was solely collected through medical records, based on unidentified data, individual informed consent was waived.
    Consent: The study has been conducted according to a predefined protocol and was approved by the National Commission for Research Ethics (CAAE 30350820.5.1001.0008).8 Due to the state of pandemic and to the fact that data was solely collected through medical records, based on unidentified data, individual informed consent was waived.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analyses were conducted IBM SPSS Statistics (IBM SPSS Statistics for Macintosh, Version 19 Armonk, NY: IBM Corp.).
    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: We detected the following sentences addressing limitations in the study:
    The present study has limitations, as it is a case series, based on a multicenter retrospective cohort. However, it adds knowledge to symptoms, clinical presentation, laboratory results and imaging findings, as well as patient outcomes in this population. New studies are needed for a better understanding of disease evolution in the pediatric population, as well as in pregnant women and newborns. In conclusion, this case series of Covid-19 patients under 20 years from hospitals from 5 states of Brazil, comorbidities were frequent, and most common symptoms were fever, dyspnea and neurological symptoms. Forty-four percent required intensive therapy, showing that the disease was not as mild as it was expected, and one patient died. Further studies are required to further investigate aspects of the disease in this population.

    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2021.08.08.21261510v1 on medRxiv