预后的竞争性风险分析在老年人与西格结肠腺癌:一个基于人口的研究
Ruofei Du1,2, Jiayu Guo2, Jing Li2
1Department of Geriatrics, Southern University of Science and Technology Hospital, Shenzhen, China.
Cancer control : journal of the Moffitt Cancer Center
|June 13, 2024
概括
这项研究使用了与SEER数据竞争的风险模型,以找到老年西格结肠腺癌患者的关键预后因素. 年龄,种族和阶段显著影响生存,提供了比传统方法更好的洞察力.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 流行病学 流行病学
背景情况:
- 西格结肠腺癌 (SCA) 构成了重大的健康挑战,特别是在老年人群中.
- 准确的预后因素识别对于SCA患者的有效治疗策略至关重要.
研究的目的:
- 利用与监测,流行病学和最终结果 (SEER) 数据库相竞争的风险模型来确定西格结肠腺癌 (SCA) 的老年患者的预后因素.
- 为了比较竞争风险模型的预测准确度与SCA预后的经典Cox比例危险模型.
主要方法:
- 从SEER数据库中提取了2010-2015年间被诊断患有SCA的10,712名老年患者的数据.
- 单变量分析采用累积发病率函数和格雷测试.
- 多变量分析使用了Fine-Gray和Cox比例危险模型来评估预后因素.
主要成果:
- 竞争性风险分析确定年龄,种族,婚姻状况,AJCC阶段,等级分类,手术状况,瘤大小,肝转移,肺转移和化疗状况为SCA的显著预后因素.
- 传统的多变量分析表明性别,年龄,种族,婚姻状况和手术状况作为预后指标.
- 竞争的风险模型提供了更精细的估计SCA特异性死亡率及其影响因素.
结论:
- 与传统方法相比,竞争的风险模型提供了更准确的估计西格结肠腺癌特异性死亡率和老年患者的预后因素.
- 这些发现突出了影响SCA预后的关键因素,有助于个性化治疗和患者管理.
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