Nomogram Prediction Model and Prognostic Comparison of Cervical Clear Cell Carcinoma and Cervical Endometrioid Adenocarcinoma: A SEER Database Study - PubMed
12 hours ago
- #prognostic model
- #cervical cancer
- #SEER database
- Study focuses on cervical clear cell adenocarcinoma (CCAC) and cervical endometrioid adenocarcinoma (CEAC), rare and aggressive non-HPV-associated malignancies.
- Aim was to develop a multivariable prognostic model for CCAC and CEAC using the SEER database to aid clinical decision-making.
- Analysis included 775 CEAC and 421 CCAC cases, split into model-development (n=838) and validation (n=358) cohorts in a 7:3 ratio.
- The nomogram model showed excellent calibration and discrimination for predicting overall survival (OS), with high AUC values in both development and validation cohorts.
- Model effectively stratified patients into low-, intermediate-, and high-risk groups with significantly different median survival times.
- Decision Curve Analysis (DCA) and Clinical Impact Curve (CIC) validated the model's clinical utility.
- Conclusion: The developed nomogram is a robust tool for quantifying OS risk in CCAC and CEAC patients, aiding in identifying high-risk patients for timely interventions.