1. SciScore for 10.1101/2021.07.15.21260589: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Software and data sharing: We used Python v3.7 in Jupyter Notebooks with pandas, seaborn, and matplotlib libraries to analyse the data.
    Python
    suggested: (IPython, RRID:SCR_001658)
    matplotlib
    suggested: (MatPlotLib, RRID:SCR_008624)

    Results from OddPub: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    There are several limitations to our study. The 23 PFDs included may not represent all preventable deaths caused by COVID-19 and several jurisdictions did not publish any PFDs relating to COVID-19, with no PFDs reported in the North East, East Midlands, South West or Wales. The underreporting of PFDs limits the capacity for actions to be taken to prevent future deaths. However, it is likely that the number of PFDs relating to COVID-19 will increase in the coming months and years owing to the backlog of inquests as well as the time it takes for inquests to conclude and PFDs to be written and uploaded to the Judiciary website. For example, healthcare professionals in England and Wales called for the deaths of their colleagues to be reported to the coroner and for PFDs to be issued15,16. However, we did not identify any PFDs that reported deaths of healthcare professionals. There are also no clear guidelines for when deaths should be reported to the coroner and when PFDs should be issued after inquests, nor any auditing or quality control of these processes. In the meantime, we encourage coroners across England and Wales to continue writing PFDs when they believe deaths could have been prevented so lessons can be learnt from the COVID-19 pandemic. We are also limited by the information reported by coroners in PFDs and we identified missing data in the reports. In 52% of PFDs the age of the deceased was not reported and 26% did not report the date of death. We did not assess comp...

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.

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