Abstract
Objectives: This study performed a competing‐risks analysis using data
from the SEER database on stage Ⅱ colon cancer patients with the aim of
identifying more accurate prognostic factors. Methods: Data on patients
with stage Ⅱ colon cancer were extracted from the SEER database. A
univariate analysis used the cumulative incidence function and Gray’s
test, while multivariate analysis was performed using the Fine‐Gray
model. Cumulative hazards were compared with a competing‐risks model
constructed using KaplanMeier estimation. Results: The multivariate
Fine‐Gray analysis indicated that grade Ⅲ/Ⅳ, stage T4, number of lymph
nodes (nLN<12) were statistically significant. The results
obtained using multivariate Cox regression were different, while
Kaplan‐Meier curve analysis led to an overestimation of the cumulative
risk of stage Ⅱ colon cancer patients. Conclusions: This study
established a competing‐risks analysis model for the first time based on
the SEER database for the risk assessment of stage Ⅱ colon cancer
patients. The results may help clinicians to better understand stage Ⅱ
colon cancer and provide these patients with more appropriate support.