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March 2, 2026European Journal of Surgical OncologyOpen Access

A Prediction Model for Disease-Free Survival Following R0/R1 Rectal Cancer Resection: A Retrospective Longitudinal Study Based on the Norwegian and Danish Colorectal Cancer Quality Registries

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Authors

JBJosé Jorge Martinez BravoMGMikail GögenurIGIsmail Gögenur

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Overview

Retrospective analysis predicts disease-free survival in rectal cancer patients, suggesting improved prognostic communication for clinicians.

Key Points

  • This research aims to develop a prediction model for disease-free survival after rectal cancer resection based on extensive registry data.
  • Analyzed data from 21,116 rectal cancer patients who underwent R0/R1 surgery.
  • Utilized a multivariable cox regression model with inverse probability weighting.
  • Focus on clinicopathological predictors of disease-free survival (DFS).
  • In NCCR and DCCG cohorts, the 5-year DFS rates were 29.9% and 24.3%, respectively.
  • Significant predictors included sex, age, pathological stage, and circumferential resection margin.
  • The model achieved a C-index of 0.69 for the NCCR cohort and 0.65 for the external validation cohort.

Cite This Study

Bravo et al. (2026) studied this question.

synapsesocial.com/papers/69a528ecf1e85e5c73bf058ahttps://doi.org/10.1016/j.ejso.2026.111514
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Also Consider

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