Development and validation of prognostic nomographs for patients with cervical cancer: SEER-based Asian population study.

ABSTRACT: To develop and validate a nomograph to predict the long-term survival probability of cervical cancer (CC) patients in Asia, Surveillance, Epidemiology, and End Results (SEER) were used to collect information about CC patients in Asia. The patient data were randomly sampled and divided into a training group and a validation group by 7:3. Least absolute shrinkage and selection operator (LASSO) regression was used to screen key indicators, and multivariate Cox regression model was used to establish a prognostic risk prediction model for CC patients. The receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were adopted to comprehensively evaluate the nomogram model. LASSO regression and multivariate Cox proportional hazards model analysis showed that age, American Jo

SUBMITTER: Zeng S 

PROVIDER: S-EPMC10984919 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature