What is the effect of lockdown upon hospitalisation because of COVID‐19 amongst patients from a heart failure registry?

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.02.26.21252336: (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
    The SPSS version 18 software package (SPSS Inc., Chicago, Illinois) was for statistical analysis.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    Several limitations must be acknowledged when interpreting this data. First, this is a retrospective observational study dependent on accurate electronic records with the inherent limitations of this type of design. Second, whilst the study looked at 801 patients in total, the actual cohort with COVID-19 hospitalisation consisted of 50 patients. Whilst it is difficult to draw firm conclusions from this small cohort, several findings are in line with other studies. Third, the data utilised is from a single centre and it is difficult to extrapolate outcomes across the UK to other patient groups. Finally, since diagnosis was based on a swab or radiological findings it is possible that patients with false negative tests were missed from the analysis.

    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.