Prognostic prediction in primary cervical squamous cell carcinoma with serum squamous cell carcinoma antigen ≥ 10 ng/mL: development and validation of a nomogram model based on inflammatory biomarkers and clinical factors

This study developed and validated a clinically useful nomogram integrating inflammation-related hematological indices and clinical parameters to predict survival in high-risk cervical cancer patients. The model demonstrates favorable predictive accuracy and may guide individualized treatment strategies, supporting its potential for clinical application.