COVID-19 Associated Mucormycosis: Scoping Review Protocol

  1. Salman Hussain
  2. Harveen Baxi
  3. Abanoub Riad
  4. Jitka Klugarová
  5. Radim Líčeník
  6. Miloslav Klugar

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Abstract

Background and Objective

Mucormycosis, a serious and rare fungal infection, has occurred concurrently in COVID-19 patients globally. Mucormycosis is associated with a high risk of all-cause mortality, with mortality depending on body site infected, fungus type, and the patient’s overall condition. This deadly fungal infection is quite difficult and expensive to treat. Therefore, this scoping review aims to map all the empirical evidence on the COVID-19 associated mucormycosis with a special focus on clinical presentation, treatment, and patient outcomes.

Methods

The proposed scoping review will be developed by adhering to the JBI methodology for scoping reviews and will be reported as per the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR). A detailed search strategy has already been utilized to locate both published and unpublished studies. Literature search was carried out in three phases. PubMed, Scopus, Cochrane, Google scholar was searched. We will include all those studies which are presenting mucormycosis cases in COVID-19 positive patients. Data will be extracted in a pre-designed data extraction sheet and risk of bias will be assessed using JBI critical appraisal tool. The primary outcome will be to summarize the clinical presentation, treatment, and patient outcomes in COVID-19 associated mucormycosis. Data will be presented in tabular form.

OSF registration number

osf.io/438sm

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  1. ScreenIT

    SciScore for 10.1101/2021.05.30.21258068: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    First, an initial limited search was undertaken in PubMed, using keywords and index terms related to COVID-19, SARA-CoV2, mucormycosis, and black fungus.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    A second search using all identified keywords and index terms was conducted in all included databases (PubMed, Scopus, Cochrane, Google scholar).
    Cochrane
    suggested: (Cochrane Library, RRID:SCR_013000)
    Google scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    Gray literatures were located using Cochrane COVID-19 study register, bioRxiv, and medRxiv.
    bioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)
    COVIDENCE will be use to complete this scoping review (Covidence systematic review software, Veritas Health Innovation, Melbourne, Australia.
    COVIDENCE
    suggested: (Covidence, RRID:SCR_016484)

    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.

    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.

  2. Version published to 10.1101/2021.05.30.21258068v1 on medRxiv