对于患有结肠粘膜腺癌的患者的条件生存诺基图来预测预后:动态生存分析
Huajun Cai1,2, Ye Wang1,2, Shoufeng Li1,2
1Department of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, China.
Updates in surgery
|May 10, 2024
概括
条件生存为结肠粘膜腺癌 (MAC) 患者提供了动态的生存概率,改善了先进阶段的预测. 新的诺基图预测条件无病生存率 (DFS) 和总生存率 (OS) 基于已经存活的年数.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 癌症研究 癌症研究
背景情况:
- 结肠粘膜腺癌 (MAC) 的生存率需要在初始诊断之外进行动态评估.
- 传统的生存分析可能不能准确地反映个体患者的长期预后.
- 条件生存提供了一个更个性化和适应性的方法来估计患者的结果.
研究的目的:
- 评估结肠MAC患者的条件生存 (CS).
- 开发用于预测无病条件生存率 (DFS) 和整体生存率 (OS) 的诺米克图.
- 确定影响结肠条件生存的预后因素. MAC.
主要方法:
- 使用条件生存公式进行生存分析:CS (y dak dakyx) = S(x+y) / S(x).
- 考克斯回归分析以确定显著的预后因素.
- 构建名图来预测基于手术后的生存年数的5年条件DFS和OS.
主要成果:
- 手术后5年的DFS为67%,5年的OS为73%.
- 条件生存概率随着每一年的生存时间显著增加 (例如,5年后的生存率从73%上升到92%).
- 预后因素如pT阶段,pN阶段和淋巴血管入侵影响了DFS和OS; 条件生存益处在晚期更为明显.
结论:
- 条件生存为结肠MAC患者提供了动态和更准确的生存概率.
- 开发的诺姆图有效地预测有条件的DFS和OS,特别是在晚期患者中.
- 将已经存活的时间纳入结肠MAC中提高了生存预测的准确性.
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