INFLUENCE: risico op locoregionaal recidief bij patiënten met borstkanker in jaar 3
Berekent het risico op een locoregionaal recidief (LRR) bij patiënten met borstkanker in jaar 3 (c-index: 0.70).
Research authors: Annemieke Witteveen, Ingrid M. Vliegen, Gabe S. Sonke, Joost M. Klaase, Maarten J. IJzerman, and Sabine Siesling.
  • Public
  • Oncology
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input

Het risico op een lokaal recidief in jaar 3 bedraagt:

{{ resultSubheader }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

Beoogde toepassing INFLUENCE predictiemodel: 
Dit model kan worden ingezet als instrument om borstkanker patiënten met een hoog risico op een locoregionaal recidief te identificeren. Op basis hiervan kan een inschatting worden gemaakt ten aanzien van de gewenste intensitieit van follow-up. 

Model prestaties: 
Het oppervlak onder de ROC-curve bleek bij externe validatie 0.70 te bedragen. De discriminatie van het model wordt daarmee adequaat geacht. 

Bron: 
Witteveen A, Vliegen IM, Sonke GS et al. Personalisation of breast cancer follow-up: a time-dependent prognostic nomogram for the estimation of annual risk of locoregional recurrence in early breast cancer patients. Breast Cancer Res Treat. 2015; 152(3): 627–636.

Note
Notes are only visible in the result download and will not be saved by Evidencio
{{ file.classification }}

Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

Underlying models Part of
Comments
Comment
Please enter a comment
Comments are visible to anyone

Model feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments
On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
logo

Please sign in to enable Evidencio print features

In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:

https://www.evidencio.com/registration

Printed results - Examples {{ new Date().toLocaleString() }}


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.
Evidencio v3.1 © 2015 - 2021 Evidencio. All Rights Reserved