Meningoencephalitis associated with COVID-19: a systematic review

  1. Ritwick Mondal
  2. Upasana Ganguly
  3. Shramana Deb
  4. Gourav Shome
  5. Subhasish Pramanik
  6. Deebya Bandyopadhyay
  7. Durjoy Lahiri

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Abstract

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  1. Version published to 10.1007/s13365-020-00923-3
  2. ScreenIT

    SciScore for 10.1101/2020.06.25.20140145: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    2.2- Search strategy: In this systematic review four databases:Pubmed/Medline, NIH LitCovid, Embase, and Cochrane Library were searched using pre specified searching strategies and this search was concluded on June 10, 2020.
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    Cochrane Library
    suggested: (Cochrane Library, RRID:SCR_013000)
    The search strategy consists of variation of keywords of relevant medical subject headings (MeSH) and key words, including “SARS-CoV-2”, “COVID-19”, “coronavirus”, “clinical symptoms”, “neurological impairments” and “Meningoencephalitis”.
    MeSH
    suggested: (MeSH, RRID:SCR_004750)
    We also hand searched additional COVID-19 specific articles using the reference list of the selected studies, relevant journal websites, and renowned pre-print servers (medRxiv, bioRxiv, pre-preints.org) from 2019 to current date for literature inclusion.
    bioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)

    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 10.1101/2020.06.25.20140145v1 on medRxiv