3- and 5-year survival in patients with resected ampullary adenocarcinoma
Objective To develop and externally validate a prediction model for survival after curative resection of ampullary adenocarcinoma (AAC).
Summary Background Data AAC is a rare malignancy with great morphological heterogeneity, which complicates predicting individual prognosis and, therefore, clinical decision-making.
Methods An international multicenter cohort study was conducted, including patients who underwent pancreatoduodenectomy for AAC (January 2006-December 2017). A derivation and validation cohort were separately collected from different centers. Predictors were selected from the derivation cohort using a LASSO Cox proportional hazards model. A nomogram was created based on shrunk coefficients. Model performance was assessed in the derivation cohort and subsequently in the validation cohort, by calibration plots and Uno’s C-statistic. Four risk groups were created based on quartiles of the nomogram score.
Results Overall, 1,007 patients were available for development of the model. For external validation, 462 patients were used. Predictors in the final Cox model included age, resection margin, tumor differentiation, pathological T stage and N stage (8th AJCC edition). Internal cross-validation demonstrated a C-statistic of 0.75 (95% CI 0.73-0.77). External validation showed a C-statistic of 0.77 (95% CI 0.73-0.81).
Conclusion A prediction model for survival after curative resection of AAC was developed and demonstrated excellent performance with a C-statistic of 0.77 in a geographically external validation cohort.

Note: The paper describing the development and validation of the prediction model is currently undergoing peer-review. 
Research authors: AL Moekotte, S van Roessel
Version: 1.11
  • Details
  • Save input
  • Load input

Calculate the result

Set more parameters to perform the calculation
Calculation error. Please check the model..

Conditional information

{{ file.classification }}
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
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 }}
Evidencio v3.26 © 2015 - 2024 Evidencio. All Rights Reserved