Syncope and COVID-19 disease – A systematic review

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.12.30.20249060: (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
    This search was conducted on the databases Medline (
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)
    The search query, which took place on the 14-26 October 2020, included the following MeSH terms and keywords: “COVID-19 AND syncope”;
    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: We detected the following sentences addressing limitations in the study:
    Limitations: The majority of studies in the present review are case reports, hence, the limitations include those intrinsic to this kind of studies. There is a lack of ability to generalize the results, mainly due to the fact that there are no large epidemiological data available. In addition, since causality cannot be definitively inferred from an uncontrolled observation, we cannot be completely certain that the occurrence of syncope was related to the COVID-19 infection. We also analyzed a substantial amount of retrospective studies, most of which were not designed to primarily assess the incidence of syncope in the context of COVID-19 infection. We attempted at making a distinction between the different types of syncope, however, in some studies, we found it impossible to do so. Regarding the cardiac syncope cases, we assumed that the TLOC had most likely a cardiac origin, nevertheless, the data available were not enough to be sure in some cases. Furthermore, our exclusion criteria limited the articles to those written in the English language and that may have omitted two eligible studies.

    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.