竞争风险的诺米克图用于预测手术后多种原发性结肠直肠癌患者的癌症特异性生存率
Maorun Zhang1, Tao Yu2, Jinyan Jia1
1Department of General Surgery, Tianjin Medical University General Hospital.
Journal of visualized experiments : JoVE
|October 14, 2024
概括
这项研究确定了影响多种原发性结肠直肠癌患者癌症特异性存活率的关键因素. 一个新的名图模型有助于临床医生预测生存率和个性化治疗计划.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
背景情况:
- 多重原发性结肠直肠癌 (MPCC) 为癌症特异性生存率 (CSS) 带来了独特的挑战,原因是死亡率的竞争风险.
- 准确预测CSS对于MPCC患者的有效治疗计划至关重要.
研究的目的:
- 在患有多发性原发性结肠直肠癌 (MPCC) 的患者中调查癌症特异性生存率 (CSS).
- 通过使用竞争性风险分析,确定影响MPCC患者CSS的独立风险因素.
- 在MPCC中开发和验证CSS的预测名ogram模型.
主要方法:
- 在SEER数据库数据上使用单变量和多变量模型进行竞争性风险分析.
- 基于已识别的独立风险因素,开发一个名ogram.
- 使用ROC曲线,校准曲线和决策曲线分析 (DCA) 验证名图的性能.
主要成果:
- 分析包括8931名MPCC患者 (6255名培训,2676名验证队伍).
- 性别,瘤结节转移 (TNM) 阶段和瘤等级被确定为CSS的独立风险因素.
- 开发的名图表显示出良好的预测性能和准确性.
结论:
- 一个经过验证的诺姆图有效地预测了MPCC患者的癌症特异性生存率.
- 诺米图为个性化治疗策略提供了有价值的见解.
- 这个工具可以帮助临床医生管理MPCC并改善患者的治疗结果.
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