The calculated probability of lymph node involvement is: ... %
The calculated probability of lymph node involvement is: %
Outcome stratification
Conditional information
Result interpretation
Reported sensitivity is 39% and specificity is 94,9%.
Compared to the Roach Formula (RF) and Nguyen Formula (NF), our Yale Formula (YF) was able to classify the most patients in the high-risk (>15%) group while still maintaining good PPV and specificity. The YF had the best combination of sensitivity with high specificity and did not underestimate LN risk as the NF did. Underestimation of LN risk is potentially more harmful than overestimation of risk if patients are counseled to undergo prostate-only therapy based on an underestimation of risk, whereas they could potentially undergo pelvic LN irradiation with a chance at improving subsequent pelvic and cure rates. The utility of pelvic radiotherapy remains controversial, but it stands to reason that pelvic radiotherapy should be given more often to patients at higher risk for LN metastases than to those who are at lower risk.
Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.
Model feedback
No feedback yet 1 Comment {{ model.comments.length }} CommentsValidation cohort size: 270
C-Index: | 95% CI: 0.6373 - 0.8026
Validation author: T. A. Hueting
Revision date:
Validation cohort size: Not specified
C-Index: | 95% CI: 0.6433 - 0.7297
Validation author: T. A. Hueting
Revision date:
Validation cohort size: Not specified
C-Index: | 95% CI: 0.5268 - 0.7408
Validation author: T. A. Hueting
Revision date:
Validation cohort size: Not specified
C-Index: | 95% CI: 0.6624 - 0.7318
Validation author: T. A. Hueting
Revision date:

Please sign in to enable Evidencio print features
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.
{{ variable.title }}
{{ row }} |