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Updated: Aug 9, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Study of factors affecting prognosis of cervical cancer using a microcomputer]
Abstract:
We set up a software system which can store, retrieve and handle the data for cervical cancer. The data of 526 patients with cervical cancer have been stored. The correlation between various prognostic factors and 5-year survival was studied by means of stepwise analysis. It was found that such factors as macroscopic type of tumor, hemoglobin, peritumoral lymphocytic infiltration and age of the patients influenced prognosis significantly. The best regression equation to predict the 5-year survival of patients was established by this method. It was proved that the calculated survival rate in correspondence with the real 5-year survival rate was 83.6%-99.55%. This study was important to us. We could then take appropriate therapeutic measures in the treatment of patients with cervical cancer.
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