医学
主旨
接收机工作特性
单变量分析
多元分析
人口统计学的
内科学
比例危险模型
总体生存率
单变量
曲线下面积
肿瘤科
生存分析
间质细胞
多元统计
人口学
统计
社会学
数学
作者
Chao Sui,Chen Lin,Tingting Tao,Yibo Huang,Haoran Zhang,Heng Yu,Liang Tao,Meng Wang,Feng Wang
摘要
The Controlling Nutritional Status (CONUT) score, regarded as the effective indicator of patient nutrition, has been demonstrated to be related to prognosis of numerous tumours. Nevertheless, the significance of CONUT for gastrointestinal stromal tumour (GIST) remains unclear. This study intended to clarify the association between CONUT and the prognosis of GISTs.Three hundred and fifty-five patients with GISTs undergoing surgical resection at our center were retrospectively assessed. Receiver operating characteristic curve analysis was used to help determine the cut-off value of CONUT score. Relapse-free survival (RFS) and overall survival (OS) were assessed by Kaplan-Meier curve analysis. Prognostic factors for RFS and OS were examined by Cox proportional hazards models.A total of 355 patients were enrolled in this study. Areas under the curve (AUC) were 0.638 for CONUT score, and the cut-off value of CONUT was shown to be three. Kaplan-Meier curve analysis showed that high CONUT score was linked to poorer RFS and OS. Univariate and multivariate analyses ultimately revealed that CONUT was a risk factor for RFS and OS, independent of demographics and clinicopathological tumour characteristics.CONUT score was an effective and novel predictor for prognosis of GIST patients treated with surgery, indicating its potential as a prognostic marker in the overall management.
科研通智能强力驱动
Strongly Powered by AbleSci AI