Hospital-acquired infective endocarditis during Covid-19 pandemic

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.05.17.20101063: (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

    No key resources detected.


    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:
    An additional limitation of the present series is that only 2 of the cases were diagnosed with COVID-19 concomitantly with HAIE, complicating further to draw any conclusion; nevertheless, all of them suffered the consequences of the pandemic at the hospital level. In summary, we have detected an incidence of HAIE higher than usual during the first two months of the COVID-19 pandemic. In order to reduce the risk of this serious infection, optimal catheter care, appropriate use of corticosteroids and interleukin antagonists, early treatment of every local infection and appropriate use of diagnostic techniques in patients with suspected systemic infections should be prioritized during viral respiratory outbreaks.

    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.