基于多变量分析的高度软骨肉瘤生存预测的诺姆图的构建:一项SEER数据库研究
Xiaofei Fan1, Cheng Li2, Hengan Ge3
1Department of Medicine, Shandong Medical College, Jinan, Shandong, China.
Journal of cancer research and therapeutics
|December 31, 2025
概括
这项研究开发了名图,用于预测高度软骨肉瘤患者的整体生存率 (OS) 和癌症特异性生存率 (CSS). 这些工具有助于临床医生更准确地预测这种骨癌的预后和治疗计划.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 医疗信息学 医疗信息学
背景情况:
- 冠状肉瘤是第二个最常见的原发性恶性骨瘤.
- 高度冠状腺瘤的预后较差,需要改进的预后工具.
- 目前对高度软骨肉瘤的预后工具有限.
研究的目的:
- 开发一种高度软骨肉瘤的预测性名谱.
- 为了提高高度软骨肉瘤患者的生存评估.
- 为临床医生提供一个工具,以改善患者管理和治疗结果.
主要方法:
- 来自SEER数据库的1,198个高度软骨肉瘤病例的回顾性分析.
- 使用了卡普兰-梅尔分析,日志等级测试和多变量考克斯回归.
- 总生存率 (OS) 和癌症特异性生存率 (CSS) 的诺米克图用"rms"包构建并验证.
主要成果:
- 确定了用于OS和CSS预测的关键预后变量.
- 在培训和验证队列中,诺米图表表显示出强大的预测准确度,具有高一致性指数 (C指数) (例如,OS培训C指数:0.8117,验证C指数:0.7642;CSS培训C指数:0.8475,验证C指数:0.8173).
- 校准曲线证实了nomograms对OS和CSS的可靠预测能力.
结论:
- 成功开发了准确的名图,用于预测高度软骨肉瘤中的OS和CSS.
- 这些名ograms作为有价值的临床工具,用于精确的生存估计.
- 提高预后准确度可以优化治疗策略,并提高高风险软骨肉瘤患者的治疗结果.
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