COVID-19 and Environmental Factors. A PRISMA-Compliant Systematic Review

  1. Chatziprodromidou I
  2. Dimitrakopoulou ME
  3. Apostolou T
  4. Vantarakis A

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Abstract

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  1. Version published to 10.26502/jesph.96120151
  2. ScreenIT

    SciScore for 10.1101/2020.05.10.20069732: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    RandomizationThis was pilot tested on the first ten randomly selected studies and no refinement was needed.
    BlindingAssessment of study quality: To ascertain the validity of the included studies, two reviewers (IPC and AV) in a blind manner and independently scored the included papers’ quality upon the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist (Von Elm et al. 2014).
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Search for articles was applied in three electronic databases: Google Scholar, PubMed
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Planned methods of analysis: In order to handle data and combine the results of all the included studies, we used SPSS (Statistical Package for the Social Sciences) (
    SPSS
    suggested: (SPSS, RRID:SCR_002865)
    Statistical Package for the Social Sciences
    suggested: (SPSS, RRID:SCR_002865)
    d.) or R software (R Development Core Team 2013).
    R Development Core
    suggested: (R Project for Statistical Computing, RRID:SCR_001905)

    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 10.1101/2020.05.10.20069732 on medRxiv