Clinical view vs. predicted mortality using EMTRAS prediction rule in trauma patients
This sequential model aims to evaluate the level of agreement between the clinical view of medical professionals and the predicted mortality based on an evidence-based risk score (EMTRAS). Moreover, it is assessed to what extent medical decision-making is influenced by the results obtained from an evidence-based clincal prediction rule.
Details Decision tree Files & References
Sequential
Model author
Version
1.37
Revision date
2018-04-11
MeSH terms
  • Traumatology
  • Mortality
  • Clinical Prediction Rule
  • Expert Opinion
  • Risk Assessment
  • Status
    public
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    Sequential model

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    Underlying models
    Estimating condition of trauma patients using EMergency TRAuma Score (EMTRAS)
    Research authors: Marcus R. Raum, Maarten W.N. Nijsten, Mathijs Vogelzang, Frank Schuring, Rolf Lefering, Bertil Bouillon, Dieter Rixen, Edmund A.M. Neugebauer, Henk J. ten Duis.
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    Evidencio Community Account Benefits


    With an Evidencio Community account you can:

    • Create and publish your own prediction models.
    • Share your prediction models with your colleagues, research group, organization or the world.
    • Review and provide feedback on models that have been shared with you.
    • Validate your models and validate models from other users.
    • Find models based on Title, Keyword, Author, Institute, or MeSH classification.
    • Use and save prediction models and their data.
    • Use patient specific protocols and guidelines based on sequential models and decision trees.
    • Stay up-to-date with new models in your field as they are published.
    • Create your own lists of favorite models and topics.
    A personal Evidencio account is free, with no strings attached! Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction models.

    Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.