Calculated risk of postoperative pancreatic fistula: ...
{{ resultSubheader }}
{{ model.survival.PITTitle }}
{{ model.survival.YNETitle }}
Result
Download report
Generating report
Note
Notes are only visible in the result download and will not be saved by Evidencio
Calculated risk of postoperative pancreatic fistula:
{{ resultSubheader }}
{{ chart.title }}
{{ chart.title }}
{{ chart.title }}
{{ chart.title }}
Outcome stratification
Result interval
{{ additionalResult.min }} to
{{ additionalResult.max }}
Conditional information
Result interpretation
How this model should be used:
This validated fistula risk model allows for prediction of POPF during surgery based on pancreatic texture, pancreatic duct diameter, and BMI.
Model performance:
Discrimination of the model was good with an AUC of 0.75 (95% CI: 0.71-0.78) after internal validation, 0.78 [0.74-0.82] after external validation. The predictive capacity of a-FRS was comparable with the original-FRS, both for the 2005 definition (AUC 0.78 vs. 0.75, P = 0.03), and 2016 definition (AUC 0.72 vs. 0.70, P = 0.05).
Source:
Mungroop et al, Annals of Surgery, 2017.
Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.
Comments
Rating
Comment
Please enter a comment of rating
Comments are visible to anyone
Model feedback
No feedback yet 1 Comment {{ model.comments.length }} Comments
Part of
Recent Surgery Models

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
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.
Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
{{ variable.title }}
{{ displayTable.title }}
{{ row }} |