Prognostic value of lung ultrasound and its link with inflammatory biomarkers in patients with SARS-CoV-2 infection

  1. A.L. Wangüemert Pérez
  2. J.M. Figueira Gonçalves
  3. J.M. Hernández Pérez
  4. Y. Ramallo Fariña
  5. J.C. Del Castillo Rodriguez

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Abstract

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  1. Version published to 10.1016/j.resmer.2020.100809
  2. ScreenIT

    SciScore for 10.1101/2020.06.22.20134270: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics: The study was approved by the Research Ethics Committee of the University Hospital Nuestra Señora de la Candelaria.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Analyses were conducted with SPSS software (version 21; SPSS, Chicago, IL, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    One of the limitations of this work is that a larger sample size could potentially have revealed correlations with other biomarkers. Furthermore, the examination was performed by a single operator, so that we cannot rule out inter-observer differences when sonographic scoring is performed by more than one person. In conclusion, there is a correlation between ferritin levels and the scores obtained by LUSS in hospitalised patients older than 70 years with SARS-CoV-2 infection. In this study, high scores correlated with high levels of the biomarker. In addition, the prognostic capacity of scanning 12 fields does not seem advantageous over 8 quadrants, which allows reducing the staff exposure time and thus the risk of contagion. Studies with a larger sample size are necessary to confirm these findings.

    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 10.1101/2020.06.22.20134270v1 on medRxiv