相关实验视频

Updated: Sep 11, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

在SEER数据库上,在80多年内对食道状细胞癌的局部治疗方法进行倾向性得分匹配分析

Qiaofang Li¹, Mengchang Gao², Yitong Li³

¹The Fifth Oncology Department, HeBei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.

Clinical interventions in aging

|August 18, 2025

概括

针对癌症的手术 (CDS) 改善了80-84岁的老年食道癌症患者的生存率. 对于85岁及以上的人来说,手术和放射治疗显示出类似的结果,突出了年龄特定的治疗价值.

科学领域:

在瘤学瘤学.
老年医学老年医学
手术瘤学手术瘤学

背景情况:

食道状细胞癌 (ESCC) 不成比例地影响老年人群.
对老年ESCC患者的最佳局部治疗策略仍在研究中.
与年龄相关的因素显著影响老年癌症患者的治疗决策和治疗结果.

研究的目的:

评估癌症导向手术 (CDS) 与放射治疗 (RT) 对80岁及以上ESCC患者的生存结果的影响.
为了在这个老年人队伍中比较CDS和RT组的整体生存率 (OS) 和癌症特异性生存率 (CSS).
为了确定老年ESCC患者治疗疗效的年龄相关差异.

主要方法:

使用监测流行病学和最终结果 (SEER) 数据库 (1975-2021) 的回顾性队列研究.
包括1588名80岁及以上的ESCC患者.
倾向性得分匹配 (PSM) 在CDS和RT组之间平衡基线特征,然后进行卡普兰-梅尔生存分析和Log等级测试.

主要成果:

单变量和多变量分析表明,局部治疗模式是OS和CSS的预后因素.
与RT相比,接受CDS的患者表现出明显更好的CSS (HR=0.674) 和OS (HR=0.717).
在PSM队列中,CDS与改善的CSS (P<0.008) 和OS (P<0.011) 相关. 亚组分析显示,在85岁及以上的患者中,CDS和RT的生存率没有显著差异 (P>0.434).

结论:

针对癌症的手术是80-84岁的ESCC患者的首选治疗方法,提供更好的生存益处.
对于85岁及以上的ESCC患者,CDS和RT之间生存结果没有显著差异.
这些发现强调了老年ESCC患者年龄特定治疗考虑的重要性,并表明需要进一步调查的潜在护理差异.

关键词:

年长的病人,老年患者.消化道的状癌症消化道的状癌辐射疗法辐射疗法手术手术手术手术手术手术手术

更多相关视频

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Development of Compendium for Esophageal Squamous Cell Carcinoma

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

相关概念视频

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...