Relationship between blood group and risk of infection and death in COVID-19: a live meta-analysis

  1. F. Pourali
  2. M. Afshari
  3. R. Alizadeh-Navaei
  4. J. Javidnia
  5. M. Moosazadeh
  6. A. Hessami

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Abstract

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  1. Version published to 10.1016/j.nmni.2020.100743
  2. ScreenIT

    SciScore for 10.1101/2020.06.07.20124610: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Data extraction: Data extracted from the primary studies included first author’s name, year of publication, place of the study conduction, type of the study, sampling method, number of participants, number of COVID-19 infection, and death in each blood group, A, B, O, and AB.
    AB
    suggested: RRID:BDSC_203)
    Software and Algorithms
    SentencesResources
    Search Strategy: A systematic search was carried out in the available databases including PubMed, Scopus, Cochrane library, Web of Science, and also unpublished results in medRxiv.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Cochrane library
    suggested: (Cochrane Library, RRID:SCR_013000)
    We used all MeSH terms and relevant keywords (COVID19, SARS-CoV-2 infection, COVID-19 virus disease, 2019-nCoV infection, ABO Blood Group System, ABO Factor, Blood Groups, Antigens, Blood Group).
    MeSH
    suggested: (MeSH, RRID:SCR_004750)

    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 10.1101/2020.06.07.20124610v1 on medRxiv