Mortality trends among hospitalised COVID-19 patients in Sweden: A nationwide observational cohort study

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Abstract

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  1. SciScore for 10.1101/2020.10.27.20220061: (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
    v7.15, SAS Institute Inc.
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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:
    The study also has limitations. First, clinical data regarding organ function were not available for non-ICU treated patients. Thus, it was not possible to determine degree of respiratory failure within the whole cohort. Second, data on do-not-resuscitate orders were not available and thus, it is not known if criteria for admission to ICU changed with time. However, SAPS3 scores on ICU admission were constant throughout the study period, indicating that the criteria for ICU admission had probably not changed considerably. Third, we did not have access to data on drug therapy on wards during hospital stay, and thus we could not appropriately assess the impact of different drug therapy for outcome. Fourth, the NPR lacks information from primary care, hence the CCI may be underestimated. However, replacing CCI with the individual comorbidities measured from both the NPR and the Prescribed Drug Register (thus catching primary care) in the models did not attenuate RR estimates further (not shown). In conclusion, there was a distinct gradual decline in mortality for both non-ICU treated and ICU treated hospitalised covid-19 patients. Future studies are needed to address and explain this decline. The changing covid-19 mortality should be considered when the management and results of studies from the first pandemic wave are evaluated.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04345848RecruitingPreventing COVID-19 Complications With Low- and High-dose An…
    NCT04344756Not yet recruitingTrial Evaluating Efficacy and Safety of Anticoagulation in P…


    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.