Prognostic Survival Model Following Primary Radical Surgery for Early-Stage Cervical Cancer

Area of Science:

• Oncology
• Surgical Oncology
• Gynecologic Oncology

Background:

• Radical hysterectomy with pelvic lymphadenectomy is standard for early-stage cervical cancer.
• Disease recurrence remains a challenge despite optimal treatment.
• Need for better tools to stratify recurrence risk and guide postoperative management.

Purpose of the Study:

• Develop and validate a prediction model for recurrence risk in early-stage cervical cancer.
• Aid clinicians in tailoring postoperative treatment strategies.
• Improve patient outcomes by identifying high-risk individuals.

Main Methods:

• Retrospective analysis of data from 1309 women undergoing radical hysterectomy.
• Cox proportional hazard regression model developed using backward elimination.
• Internal validation via bootstrapping; performance assessed by C-index and calibration plots.

Main Results:

• 115 patients (8.8%) experienced recurrence; median follow-up was 72.2 months.
• Significant predictors of recurrence-free survival (RFS) included tumor size, histology, lymph node status, lymphovascular invasion, and platelet-to-lymphocyte ratio.
• The model showed good fit, calibration, and discriminative ability (C-index = 0.73).

Conclusions:

• The developed survival model is a valuable tool for therapeutic decision-making in early-stage cervical cancer.
• The model demonstrates robust predictive performance and calibration.
• External validation is recommended to confirm reproducibility across diverse patient populations.