Anxiety, depression and coping strategies among chronic medical patients with coronavirus disease-2019: a multicenter follow-up cohort study

  1. Hend Ibrahim Shousha
  2. Nagwan Madbouly
  3. Shimaa Afify
  4. Noha Asem
  5. Eman Fouad
  6. Rabab Maher
  7. Suaad Sayed Moussa
  8. Amr Abdelazeem
  9. Eslam Mohamed Youssif
  10. Khalid Yousef Harhira
  11. Kariman Kamal
  12. Hazem Elmorsy
  13. Hassan Elgarem
  14. Dalia Omran
  15. Mohamed Hassany
  16. Basem Eysa
  17. Mohamed El Kassas

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Abstract

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  1. Version published to 10.1080/09638237.2021.1979491
  2. ScreenIT

    SciScore for 10.1101/2020.12.22.20248379: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Participants joined the study voluntarily after giving an informed written consent. 2.2. Measures: 2.3. Covariates: The following covariates were measured.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Analyses: Data was entered and statistically analyzed on the Statistical Package of Social Science Software program, version 25(IBM SPSS Statistics for Windows).
    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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04459403CompletedPsychiatric Disturbances and COVID-19 Infection

    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 10.1101/2020.12.22.20248379 on medRxiv