Association of hyperglycaemia with hospital mortality in nondiabetic COVID-19 patients: A cohort study

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Abstract

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  1. SciScore for 10.1101/2020.08.31.20185157: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the Institutional Review Board of the Cook County Health, Chicago, IL with waiver of informed consent.
    Consent: The study was approved by the Institutional Review Board of the Cook County Health, Chicago, IL with waiver of informed consent.
    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:
    Our study has some limitations. First, this is an observational study of hospitalized COVID-19 patients and is thus prone to all the limitations of observational studies. For instance, causative association cannot be established from our results. While our analyses attempted to ensure that hyperglycemia preceded the outcomes of interest, the possibility of a temporal bias cannot be refuted. Second, our study does not include any practice changes based on hyperglycemia detection. However, our results suggest that a closer clinical scrutiny of COVID-19 patients based on glycemic status may provide additional insights into their clinical course. Studies in future need to specifically address these hypotheses. Third, although we have provided a coherent model of the pathophysiology, whether hyperglycemia in COVID-19 patients is consequential or coincidental to disease biology is currently unknown and cannot be surmised from our results. Studies are needed to specifically understand the biology of hyperglycemia in COVID-19 patients. Fourth, since the BG data were retrospectively derived from the source of blood sample, its relation to fasting status remains unknown in this study. This heterogeneity of BG sampling could have biased our OR estimates. Despite this potential measured and unmeasured confounding, our results from sensitivity analyses indicate that our interpretations are likely to have been minimally influenced by confounding due to BG sampling. Fifth, the likelihood of...

    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.