开发和验证结肠癌特异性死亡率的风险预测名录:基于SEER数据库的竞争风险模型
Wei Li1, Yiting Liu2
1Department of Oncology, Shuyang Hospital, The Affiliated Shuyang Hospital of Xuzhou Medical University, No. 9 Yingbin Avenue, Shucheng Town, Shuyang County, Suqian, 223600, Jiangsu, China. ls1109h1218@163.com.
Discover oncology
|November 6, 2024
概括
这项研究开发了一种预测工具,用于使用竞争性风险模型识别结肠癌特异性死亡风险. 诺米图准确预测存活率,帮助结肠癌患者的临床决策.
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:
- 结肠癌仍然是全球死亡的一个重要原因.
- 准确预测结肠癌特异性死亡率 (CSM) 对于有效的患者管理至关重要.
- 现有的生存分析可能无法完全解释结肠癌预后中的竞争风险.
研究的目的:
- 开发和验证一种竞争性风险模型,用于早期识别结肠癌患者的CSM风险.
- 为预测CSM创建一个用户友好的nomogram.
- 改善临床决策和患者随访策略.
主要方法:
- 利用监测,流行病学和最终结果 (SEER) 数据库对一大群结肠癌患者进行了分析.
- 开发了一个具有竞争力的风险模型,包括单变量和多变量分析.
- 将数据随机划分为培训和验证集,以评估模型性能.
主要成果:
- 这项研究包括40,261名结肠癌患者,其中10,397人死于该疾病.
- 开发的竞争性风险模型显示出高的预测准确性,在训练和验证组中,曲线下的面积 (AUC) 值在1年,3年和5年的预测间隔中从0.835到0.853不等.
- 与传统的生存分析相比,竞争风险模型提供了更准确的累积CSM率.
结论:
- 成功开发了一种可靠的竞争性风险评估模型和名图,用于预测结肠癌中CSM.
- 诺米图表表现出高精度和可靠性,成为临床医生宝贵的工具.
- 这种预测工具可以帮助医疗保健专业人员做出明智的临床决策,并优化患者的后续护理.
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