列线图
鼻咽癌
医学
内科学
肿瘤科
多元分析
阶段(地层学)
比例危险模型
多元统计
生存分析
胃肠病学
放射治疗
古生物学
统计
数学
生物
作者
Zui Chen,Jie Ling,Sujuan Zhang,Yuhua Feng,Yangchun Xie,Xianling Liu,Tao Hou
出处
期刊:Head & neck
[Wiley]
日期:2024-04-22
卷期号:46 (10): 2600-2615
摘要
Abstract Background Serum biomarkers have a significant impact on the prediction of treatment outcomes in patients diagnosed with nasopharyngeal carcinoma (NPC). The primary aim of this study was to develop and validate a nomogram that incorporates hemoglobin, albumin, and globulin ratio (HAGR) and clinical data to accurately forecast treatment outcomes in patients with NPC. Methods A total of 796 patients diagnosed with NPC were included in the study. Results The results of the multivariate Cox analysis revealed that TNM stage and HAGR were found to be significant independent prognostic factors for OS and PFS. Furthermore, the utilization of the nomogram demonstrated a significant improvement in the evaluation of OS, PFS compared with the eighth TNM staging system. Additionally, the implementation of Kaplan–Meier curves and decision curve analysis curves further confirmed the discriminability and clinical effectiveness of the nomogram. Conclusions The HAGR, an innovative prognostic factor grounded in the realm of immunonutrition, has emerged as a promising prognostic marker for both OS and PFS in individuals afflicted with NPC.
科研通智能强力驱动
Strongly Powered by AbleSci AI