1. SciScore for 10.1101/2021.07.15.21260590: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    Trained research assistants entered anonymized participant data into a REDCap database (Version 10.9.4; Vanderbilt University, Nashville, Tennessee, USA).
    suggested: (REDCap, RRID:SCR_003445)

    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:
    These tools were developed in studies with substantial methodological limitations and incorporate variables not immediately available at the time of a patient’s hospital arrival, so are not useful to guide early isolation, testing and treatment decisions.2 None of these risk prediction tools considered the prevalence of disease in the population. Prevalence can substantially change the approach to testing and cohorting, and this will become increasingly important as prevalence rates drop and selective rather than liberal testing may be more appropriate. United States-based investigators recently reported the development of the CORC score using only clinical variables. The CORC score contains several similar variables to the CCIS. However, the CORC score was derived in a non-consecutive sample of patients which had a much higher incidence of disease than our study cohort and may be vulnerable to selection bias. The CORC score also included race and ethnicity as predictor variables. This inclusion of race and ethnicity variables limits the generalizability of the CORC score beyond the urban American population in which it was developed, as it does not reflect the international diversity of ethnic backgrounds. Moreover, it is unlikely race or ethnicity represents a biologic risk. The association between race and ethnicity and SARS-CoV-2 infection in the CORC score likely reflects other sociodemographic and geographic predictors of the risk of COVID-19 infection in the American p...

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

    NCT04702945RecruitingCanadian COVID-19 Emergency Department Registry

    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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