A Clinical Prediction Model of Overall Survival for Patients with Cervical Cancer Aged 25-69 Years.

ABSTRACT: Aims: This study aims to develop a prediction tool for the overall survival of cervical cancer patients. Methods: We obtained 4116 female patients diagnosed with cervical cancer aged 25-69 during 2008-2019 from the Surveillance, Epidemiology, and End Results Program. The overall survival between groups was illustrated by the Kaplan-Meier method and compared by a log-rank test adjusted by the Bonferroni-Holm method. We first performed the multivariate Cox regression analysis to evaluate the predictive values of the variables. A prediction model was created using cox regression based on the training set, and the model was presented as a nomogram. The proposed nomogram was designed to predict the 1-year, 3-year, and 5-year overall survival of patients with cervical cancer. Besid

SUBMITTER: Fan W 

PROVIDER: S-EPMC10052094 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature