Ke Der-Shin, Hsu Chao-Yu
Department of Neurology, China Medical University Beigang Hospital, Beigang, Yunlin 651012, Taiwan.
Department of Medical Education, Ditmanson Medical Foundation, Chia-Yi Christian Hospital, Chia-Yi 600566, Taiwan.
Medicina (Kaunas). 2025 Jun 9;61(6):1062. doi: 10.3390/medicina61061062.
: Due to the rare focus on ureteral cancer survival analyses, this study investigates post-surgery cancer-specific survival (CSS) rates, along with prognostic factors affecting these outcomes. It aims to enhance understanding of disease progression and determinants of patient survival and develop a nomogram for reference. : This research undertook a retrospective analysis of ureteral cancer patients who received surgical intervention from 2010 to 2017, utilizing data from the Surveillance, Epidemiology, and End Results database. The primary endpoint was survival, with 1-, 3-, and 5-year CSS rates calculated using the Kaplan-Meier method. Initial univariate Cox proportional hazards analyses identified factors impacting survival, with those yielding a -value under 0.05 progressing to multivariate Cox regression analysis to ascertain significant prognostic indicators. : The investigation encompassed 2277 patients diagnosed with ureteral cancer. CSS rates at 1, 3, and 5 years post-surgery were observed at 88.2%, 68.1%, and 60.3%, respectively. Multivariate analyses identified age, staging of tumor, node and metastasis, and the application of radiotherapy as significant prognostic indicators for CSS. Based on these factors, a post-surgical nomogram for CSS was developed. : The survival outcomes for ureteral cancer are not yet satisfactory. Age and stage emerge as pivotal prognostic elements, significantly impacting CSS following surgery. Recognizing these factors is essential for clinicians, as they offer critical insights that inform treatment strategies and patient management.
由于对输尿管癌生存分析的关注较少,本研究调查了手术后癌症特异性生存率(CSS)以及影响这些结果的预后因素。其目的是加深对疾病进展和患者生存决定因素的理解,并开发一个列线图以供参考。
本研究对2010年至2017年接受手术干预的输尿管癌患者进行了回顾性分析,利用监测、流行病学和最终结果数据库的数据。主要终点是生存,采用Kaplan-Meier方法计算1年、3年和5年CSS率。最初的单变量Cox比例风险分析确定了影响生存的因素,那些P值小于0.05的因素进入多变量Cox回归分析以确定显著的预后指标。
该调查涵盖了2277例被诊断为输尿管癌的患者。术后1年、3年和5年的CSS率分别为88.2%、68.1%和60.3%。多变量分析确定年龄、肿瘤分期、淋巴结和转移情况以及放疗的应用是CSS的显著预后指标。基于这些因素,开发了一个术后CSS列线图。
输尿管癌的生存结果尚不令人满意。年龄和分期是关键的预后因素,对手术后的CSS有显著影响。认识到这些因素对临床医生至关重要,因为它们提供了重要的见解,为治疗策略和患者管理提供依据。