Robot Prostatectomy Predictors: Pre-Prostatectomy Lymph Node Involvement Ca - Evidencio
Robot Prostatectomy Predictors: Pre-Prostatectomy Lymph Node Involvement Calculator // Rotterdam
RARP Oncology // Pre-Prostatectomy Lymph Node Involvement Calculator // Rotterdam population // 452 (484) PLND patients // Total population 2080 patients // jan 2009  - july 2017

This model will be presented at the ERUS18 meeting at Marseille 5-7 september

Note: The model is still under development and is therefore not suitable for clinical use.
Research authors: Eelco Collette
Version: 1.11
  • Public
  • Urology
  • {{ modelType }}
  • Details
  • Validate algorithm
  • Save input
  • Load input
Display
Units

{{ section.title }}

{{ section.description }}

Calculate the result

Set more parameters to perform the calculation

The patient has risk of Lymph Node Involvement

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

ROBOT PROSTATECTOMY PREDICTORS: PRE-PROSTATECTOMY LYMPH NODE INVOLVEMENT CALCULATOR 

Results show the chance of finding lymph node metastases in prostate cancer patients during pelvic lymph node dissection (PLND) of the Rotterdam population 2009 - 2017.

Worldwide threshold recommendations: 
- The Dutch Oncoline guideline recommends a threshold of 10%.
- Dutch high volume Robotic Prostatectomy hopsitals typical use a threshold of 6-7%.
- The Briganti group recommends a threshold of 5-7%.
- The EAU guideline recommends to perform an ePLND in patients with a risk of LNI above 5%.
- The Partin group recommends a threshold of 4%.
- The NCCN guideline recommends a threshold of 2%

Future

- EAU guideline recommends new treshold likely 7% risk of node positivity: Eur. Urol., 2017 vol. 72(4) pp. 632-640.
- Recently independently confirmed in (yet unpublished) Belgian prospective Be-RALP database.

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

This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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

Algorithm feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments
On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
{{ comment.content }}
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 algorithms.
  • Share your prediction algorithms with your colleagues, research group, organization or the world.
  • Review and provide feedback on algorithms that have been shared with you.
  • Validate your algorithms and validate algorithms from other users.
  • Find algorithms based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction algorithms and their data.
  • Use patient specific protocols and guidelines based on sequential algorithms and decision trees.
  • Stay up-to-date with new algorithms in your field as they are published.
  • Create your own lists of favorite algorithms 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 algorithms.


Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
Evidencio v3.38 © 2015 - 2025 Evidencio. All Rights Reserved