Racial/Ethnic, Biomedical, and Sociodemographic Risk Factors for COVID-19 Positivity and Hospitalization in the San Francisco Bay Area

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Abstract

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  1. SciScore for 10.1101/2022.04.03.22273345: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Data: Under an institutional review board (IRB)-approved protocol (IRB #20-30545), we analyzed the University of California, San Francisco (UCSF
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: The CDC SVI is a validated index that incorporates four different sub-measures: socioeconomic factors, household composition and disability status, minority status and primary language spoken, and housing type and primary transportation modality employed [23].

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Race/ethnicity was self-reported and classified as non-Hispanic Black (hereafter, Black), non-Hispanic White (hereafter, White), non-Hispanic Asian (hereafter Asian), or Hispanic or Latino (hereafter Hispanic).
    non-Hispanic White
    suggested: None

    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:
    Study Limitations: Our study was conducted on the patient population of a large academic health care system in the San Francisco Bay Area during the pre-vaccination phase of the COVID-19 pandemic; accordingly, these specific findings may not be generalizable to populations in other settings or at different time points. Some differences in the racial and ethnic composition of the study cohort and that of the Bay Area were noted, possibly reflecting differences in the demo-graphics of the counties closest to UCSF Health locations, variations in patient access to and willingness to seek care at UCSF Health care facilities, health insurance coverage–dictated limitations, and referral effects. Patients who lived a distance from a UCSF Health facility, and in particular individuals with higher social vulnerability and lower socioeconomic status, may have been less likely to seek care at UCSF Health and thus would been less likely to be included in the study population. Mitigating any such effects is the fact that, among large, regional health care systems in the San Francisco Bay Area during the study period, UCSF Health cared for a disproportionately greater share of uninsured and underinsured patients. Errors in self-reported residence address data were corrected manually when possible (e.g., misspelled street names and transposed zip code digits) but records with missing street addresses or other unresolvable errors were excluded. These limitations may have introduced some syste...

    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

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