Clinical characteristics of patients hospitalized with COVID-19 in Spain: results from the SEMI-COVID-19 Registry

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Abstract

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  1. SciScore for 10.1101/2020.05.24.20111971: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Exclusion criteria were subsequent admissions for the same patient, and denial or withdrawal of informed consent.
    IRB: In accordance with applicable regulations, the Spanish Agency of Medicines and Medical Products (AEMPS, for its initials in Spanish) has ruled that due to its nature, the study only required the approval of the Ethics Committee and not the Autonomous Community, as in other studies.
    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:
    Its strengths and weaknesses are both a result of its single-center design: the data are more consistent and able to be analyzed, but also less able to be extrapolated to the general population and prone to local biases, such as different population demographics or features specific to that particular hospital. Our series has a higher proportion of males, as has been described in most multicenter cohorts and contrary to the work by Borobia et al. The higher proportion of females at La Paz University Hospital may be a result of its specific demographic features and does not reflect the differences according to sex previously described in viral infections and specifically in COVID-19. In addition, our cohort comprises older patients with a greater number of comorbidities. In our series, the median age was 69 years (61 in Madrid cohort), which is clearly higher than Guan et al.’ s Chinese series [4], moderately higher than Richardson et al.’ s New York series [7], and lower than Docherty et al.’ s UK series (data unpublished). The most frequent comorbidities (hypertension, diabetes, dementia, and others) are similar to those that have been previously described, but all were more prevalent among our patients (Table 4). In our cohort, symptoms reported upon arrival to the hospital (fever, cough, dyspnea, and asthenia) were similar to those reported in other studies [4-7], although myalgia and anosmia were less common. This could be explained by a potential difference in admission ...

    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.