Early estimation of the risk factors for hospitalization and mortality by COVID-19 in Mexico

  1. María Fernanda Carrillo-Vega
  2. Guillermo Salinas-Escudero
  3. Carmen García-Peña
  4. Luis Miguel Gutiérrez-Robledo
  5. Lorena Parra-Rodríguez

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Abstract

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  1. Version published to 10.1371/journal.pone.0238905
  2. ScreenIT

    SciScore for 10.1101/2020.05.11.20098145: (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
    All analyses were performed with the statistical package software STATA 14.
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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:
    This study has some limitations. First, given the dynamics of the disease and that in Mexico there are insufficient resources to apply the tests massively, the rates were calculated based on sentinel information that includes all deaths, but not all mild (asymptomatic) or moderate cases that did not access to health services, so the prevalence of the disease could be underestimated and lethality could be overestimated. Therefore, when interpreting the data, it would be convenient to take into account the estimation of real cases, which are mostly mild cases of the disease. Second, more detailed patient information, particularly, dates of hospital discharge of patients who do not die, was unavailable at the time of analysis; this information would be of vital importance to assess the possible saturation of health services and to assess the use of resources. Nonetheless, this study is, to our knowledge, the largest case series to date of COVID-19 in Mexico, with 10,544 individuals from all over the country, and provides further information on the clinical and epidemiological features of patients. It presents the latest status of COVID-19 in Mexico and a wide range of clinical manifestations can be seen and are associated with adverse outcomes.

    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.

  3. Version published to 10.1101/2020.05.11.20098145v1 on medRxiv