Related Experiment Video
Updated: Aug 25, 2026
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Modeling recurrence in colorectal cancer
V Dancourt1, C Quantin, M Abrahamowicz
1Department of Biostatistics, Centre Hospitalier Universitaire de Dijon, Dijon, France.
Objective:
To assess the role of recurrence in prognosis of colon cancer, we investigated several methodologic issues, including application of classic survival analysis and Markov model.
Study Design And Setting:
The data were recorded by the Registry of Digestive Tumors of Côte d'Or, France, for 874 patients who had been treated by surgery between 1976 and 1984 and followed for up to 11 years. Survival analyses included the Cox proportional hazards model and its two generalizations that allow recurrence to be taken into account as a time-dependent covariate or as a competing outcome. The Markov model was used to analyze simultaneously recurrence and death.
Results:
The competing risks approach is not appropriate because censoring is indisputably informative. The Markov model and the Cox model, with recurrence as a time-dependent covariate, provided similar results, demonstrating the impact of age and gender on recurrence and revealing a reduction in the effect of site and stage on mortality.
Conclusion:
A Markov multistate model seems to give new insights about the course of digestive cancer progression and into the role of recurrence in this process.
