INFLUENCE: Five-year locoregional recurrence risk in breast cancer patients
Calculates the 5-year risk for locoregional recurrence (LRR) in breast cancer patient (c-index: 0.71).
Research authors: Annemieke Witteveen, Ingrid M. Vliegen, Gabe S. Sonke, Joost M. Klaase, Maarten J. IJzerman, Sabine Siesling
  • Public
  • Oncology
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input

The five year risk of a locoregional recurrence is:

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

Conditional information

How this model should be used: 
This model can be used as an instrument to identify patients with a high 5-year risk of locoregional recurrence (LRR) who might benefit from a less or more intensive follow-up after breast cancer and to aid clinical decision making.

Model performance: 
The probability measure of the predictive ability given as the c-statistic (area under the ROC curve) was 0.71 for the 5-year risk of LRR (95% CI: 0.69-0.73), indicating good discriminating ability. In addition, the model showed good calibration (Figure 1). 

Source: 
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.

Figures: 

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