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

Key Points

• To develop and validate a nomogram that predicts survival in cervical squamous cell carcinoma patients using inflammatory biomarkers and clinical factors.
• Developed a nomogram integrating inflammation-related hematological indices with clinical parameters.
• Validated the model on a separate cohort to assess predictive accuracy.
• Considered patients with serum squamous cell carcinoma antigen ≥ 10 ng/mL as high-risk.
• The nomogram demonstrated favorable predictive accuracy for patient survival.
• The integration of inflammatory biomarkers improved the model's clinical utility.
• Results support the potential for individualized treatment strategies.