Clinical outcomes and risk factors for COVID-19 among migrant populations in high-income countries: A systematic review

  1. Sally E Hayward
  2. Anna Deal
  3. Cherie Cheng
  4. Alison Crawshaw
  5. Miriam Orcutt
  6. Tushna F Vandrevala
  7. Marie Norredam
  8. Manuel Carballo
  9. Yusuf Ciftci
  10. Ana Requena-Méndez
  11. Christina Greenaway
  12. Jessica Carter
  13. Felicity Knights
  14. Anushka Mehrotra
  15. Farah Seedat
  16. Kayvan Bozorgmehr
  17. Apostolos Veizis
  18. Ines Campos-Matos
  19. Fatima Wurie
  20. Martin McKee
  21. Bernadette Kumar
  22. Sally Hargreaves

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Abstract

No abstract available

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  1. Version published to 10.1016/j.jmh.2021.100041
  2. ScreenIT

    SciScore for 10.1101/2020.12.21.20248475: (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
    We searched the following databases: Embase, Web of Science, Oxford Academic Journals, PubMed NIH, Clinical Trials, China CDC MMWR, CDC reports, ProQuest Central (Proquest), CINAHL, Africa Wide Information (Ebsco), Scopus, PsycInfo, CAB Abstracts, Global Health, J Stage, Science Direct, Wiley Online Journals, JAMA Network, British Medical Journal, Mary Ann Liebert, New England Journal of Medicine, Sage Publications, Taylor and Francis Online, Springer Link, Biomed Central, MDPI, ASM, PLOS, The Lancet, Cell Press, and pre-print sites chemRxiv, SSRNbioRxiv, and medRxiv facilitated through the WHO Global Research on COVID-19 database from inception to 18/11/2020 (https://search.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/).
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    PsycInfo
    suggested: (PsycINFO, RRID:SCR_014799)
    Records and data were managed through EndNote and Excel databases prepared by the principal reviewers.
    EndNote
    suggested: (EndNote, RRID:SCR_014001)
    Excel
    suggested: None

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    This review has some inevitable limitations. It was not possible to engage an expert in every HIC and as a result some national statistics and grey literature may have been missed. However, we engaged widely through our international networks to source local literature, and the WHO database sources both peer-reviewed, pre-prints, and grey literature from a diverse range of databases that would not normally have been searched individually for a systematic review. We are therefore confident that we have included the majority of datasets available to 18 Nov. In addition, we have included non-peer reviewed grey literature and pre-prints in the narrative synthesis with obvious limitations. Due to the rapidly evolving nature of the pandemic we felt this was justified and strengthens our description of the current situation facing migrants in HICs. In Table 1 and Supplementary Table 1 we have clearly stated all data sources and have given a quality appraisal score to them. Panel 1 sets out some of the implications of this work for further research and for health policies. Understanding the lived experience of marginalised migrants will be vital to tackling issues around barriers to care (including of migrants with long-term symptoms), testing uptake, and obstacles and facilitators to eventual COVID-19 vaccination and ensuring good vaccine coverage of, and uptake by migrants and ethnic minorities (173). We believe our findings are of immediate relevance to the ongoing public health r...

    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 10.1101/2020.12.21.20248475v1 on medRxiv