Development and Validation of Prediction Models for the Prognosis of Clear Cell Adenocarcinoma of the Cervix: A Population-Based Cohort Study.

ABSTRACT:

Aims

Clear cell adenocarcinoma of the cervix (CCAC) is a rare and aggressive malignancy with poor prognosis. This study aimed to develop and validate nomograms and risk-stratification scores for predicting overall survival (OS) and cancer-specific survival (CSS) in CCAC patients.

Methods

Data from 429 CCAC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database (2000-2019). Patients were randomly assigned to training and validation sets. Cox regression analysis identified five independent prognostic factors for OS and CSS, which were used to construct nomograms for predicting 1-, 3-, and 5-year OS and CSS. The models were evaluated using receiver operating characteristic (AUC) analysis, calibration curves, and decision curve analysis (DCA

SUBMITTER: Chen L 

PROVIDER: S-EPMC12835606 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature