基于SEER数据库的宫颈鳞癌预后预测模型构建及分析OA

Objective To explore the impact of clinicopathological characteristics on the prognosis of cervical squamous cell carcinoma(CSCC)patients and to construct a prognostic prediction model.Methods A retrospective analysis was conducted on data from 5189 CSCC patients in the SEER database from January 1,2010,to December 31,2020.Univariate and multivariate Cox proportional hazards regression models were used to identify potential factors influencing overall survival(OS).Kaplan-Meier survival analysis was performed for stratified analysis,and a prognostic prediction model based on risk factors was constructed.The model's performance was evaluated using ROC curves,calibration curves,and decision curve analysis.Results Age,N stage,M stage,AJCC stage,chemotherapy,tumor size,and number of lymph nodes examined were identified as independent prognostic factors for cervical squamous cell carcinoma.Patients aged≥65 years,with lymph node metastasis,distant metastasis,tumor diameter>2 cm,or without lymph node examination had higher mortality risks(P<0.05).The model demonstrated good predictive accuracy and clinical applicability.Conclusion The prognostic model constructed based on SEER data highlights the impact of key prognostic factors on survival and provides a basis for individualized treatment plans for patients with cervical squamous cell carcinoma.