Triage tool for suspected COVID-19 patients in the emergency room: AIFELL score

  1. Ian Levenfus
  2. Enrico Ullmann
  3. Edouard Battegay
  4. Macé M. Schuurmans

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Abstract

No abstract available

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  1. Version published to 10.1016/j.bjid.2020.07.003
  2. ScreenIT

    SciScore for 10.1101/2020.05.09.20096834: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Only those cases evaluated with chest imaging and a blood test including at least two of the three considered blood parameters at presentation in the ER, who did not decline the general research consent, were included.
    IRB: The study was approved by the Institutional Review Board (Ethics Committee of the Canton of Zurich, Nr. 2020-00854).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    For all analyses, we used MS Excel 2016 and SPSS 24.
    MS Excel
    suggested: None
    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:
    The major limitation of this work is the single-center evaluation of only a limited number of patients. Due to its retrospective nature, in 36 of all included cases, LDH values were missing as it was not measured routinely on admission. Smell and taste alterations were actively mentioned by the patients and not routinely asked by physicians yet. The strengths are its simplicity, immediate availability as well as wide applicability due to simple components. The AIFELL score obviously needs to be prospectively applied in larger cohorts of patients to gain more reliable data regarding its diagnostic yield.

    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 10.1101/2020.05.09.20096834v1 on medRxiv