A multicentre cohort study of serum and peritoneal biomarkers to predict anastomotic leakage after rectal cancer resection
This model predicts the individual risk for anastomotic leakage after rectal resection with systemic CRP and peritoneal MMP9 levels on postoperative day 3

(c-index = 0.78)
Research authors: C.L. Sparreboom, N. Komen, D. Rizopoulos, A.P. Verhaar, W.A. Dik, Z. Wu , H.L. van Westreenen, P.G. Doornebosch, J.W.T. Dekker, A.G. Menon, F. Daams, D. Lips, W.M.U. van Grevenstein, T.M. Karsten, Y. Bayon, M.P. Peppelenbosch, A.M. Wolthuis, A. D'Hoore, J.F. Lange
Version: 1.45
  • Public
  • Surgery
  • {{ modelType }}
  • Details
  • Validate model
  • Save input
  • Load input
Display
Units

{{section.title}}

Calculate the result

Set more parameters to perform the calculation

The risk of anastomotic leakage after rectal resection

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

Conditional information

This prospective multicenter cohort study provides a prediction model for anastomotic leakage after rectal resection including CRP and MMP9 on postoperative day 3. This nomogram calculates the individual risk for anastomotic leakage after rectal resection. Assessment of model discrimination yielded a concordance index of 0.78. In addition, this model obtained good calibration with a mean absolute error of 0.025. 

This tool should never replace clinical observations and should be interpreted in clinical context as with any other diagnostic tool.

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

This model 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 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:
{{ 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 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.
Terms & Conditions | Privacy Policy | Disclaimer | Contact | Refuse cookies |
Evidencio v3.31 © 2015 - 2024 Evidencio. All Rights Reserved