The People's Hospital of Baoan Shenzhen, Shenzhen, China.
World J Surg Oncol. 2022 Apr 27;20(1):135. doi: 10.1186/s12957-022-02596-0.
The purpose was to assess the contribution of tumor size to the prognosis of patients with gastric cancer.
Patient data were sourced from the Surveillance, Epidemiology, and End Results program (SEER) database. Cox proportional risk regression was performed to determine the prognostic role of tumor size. Kaplan-Meier curves were conducted to calculate survival curves. Consistency index (c-index) and subject exercise curve (ROC) were utilized to assess the predictive ability of each factor on the prognosis of gastric cancer.
Tumor size is preferable to other widely accepted prognostic clinical features in forecasting the survival of patients with gastric cancer.
The discriminatory ability of tumor size at T1 stage is superior to many other clinical prognostic factors.
目的在于评估肿瘤大小对胃癌患者预后的贡献。
患者数据来源于监测、流行病学和最终结果(SEER)数据库。采用 Cox 比例风险回归来确定肿瘤大小的预后作用。绘制 Kaplan-Meier 曲线以计算生存曲线。采用一致性指数(c-index)和受试者工作特征曲线(ROC)来评估各因素对胃癌预后的预测能力。
肿瘤大小优于其他广泛接受的预后临床特征,可预测胃癌患者的生存情况。
T1 期肿瘤大小的判别能力优于许多其他临床预后因素。