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Updated: May 2, 2026
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Design of a prognostic score model for nasopharyngeal carcinoma
Xiao-Lin Luo1, Wang He, Hui Huang
1Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangzhou, People's Republic of China; Department of Gynecologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
Background:
The purpose of this analysis was to create a prognostic score model for newly diagnosed nasopharyngeal carcinoma (NPC) which has not been created before.
Methods:
We retrospectively reviewed the medical records of 419 patients with newly diagnosed, nondisseminated, and biopsy proven NPC.
Results:
Independent prognostic factors included age >45, stage III/IV, antienzyme rate of Epstein-Barr virus DNase-specific neutralizing antibody (AER) >58%, and absolute neutrophil count (ANC) >4.7 × 10(9) /L. Four prognostic groups based on prognostic score model were obtained: low-risk group (total score = 0-2); low-intermediate-risk group (total score = 3-4); high-intermediate-risk group (total score = 5-6); and high-risk group (total score = 7).
Conclusion:
Our proposed prognostic score model was a useful tool for improving the prognostic assessment of patients with NPC, stratifying patients into different risk groups that call for different treatments, and comparing clinical trials.
