Lung ultrasound findings in Mexican patients with SARS-CoV-2 infection

  1. Ivan Ilescas-Martínez
  2. Luis F. Paredes-Fernández
  3. Lilian S. Ramírez-Serrano
  4. Adriana Clemente-Herrera
  5. Rodrigo Saavedra-Luna
  6. Salvador Ávila-Ruiz

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Abstract

No abstract available

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  1. Version published to 10.24875/reie.21000119
  2. ScreenIT

    SciScore for 10.1101/2020.07.16.20146704: (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

    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. The main one is a retrospective study with a limited number of patients, as well as the relative scarcity of tomographic studies at the beginning of the epidemic in our institution. Future studies with a larger number of patients are needed to better assess the findings of lung ultrasound in COVID-19 patients and to evaluate the utility of lung ultrasound in treating patients with COVID-19. A more detailed evaluation with a previously validated scoring system, such as that used in intensive care for ARDS21,22, can provide prognostic information in patients admitted with COVID-19. Our examinations were carried out by a single expert sonographer (L.P.); therefore, these findings can be difficult for novice sonographers. It is also noteworthy that this study was conducted in patients who required admission to the internal medicine service. More studies are needed to characterize the sonographic findings of COVID-19 patients in other clinical settings.

    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 10.1101/2020.07.16.20146704v1 on medRxiv