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在患有原发性逆肌肉瘤的患者中预测整体生存率和癌症特异性生存率的诺莫грам开发和外部验证:一项回顾性队列研究

Jialiang Zheng^1,2, Aobo Zhuang^1,2, Xiaogang Xia^1,2

¹Cancer Research Center, Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.

Discover oncology

|November 1, 2023

概括

这项研究开发了准确的诺基图来预测原发性逆皮质肉瘤 (RPS) 患者的整体存活率 (OS) 和癌症特异性存活率 (CSS). 这些工具帮助临床医生做出治疗决策,并为RPS提供患者咨询.

科学领域:

在瘤学瘤学.
手术瘤学手术瘤学
生物统计学生物统计学

背景情况:

主要逆肌肉瘤 (RPS) 有超过70种亚型,对整体存活率 (OS) 和癌症特异性存活率 (CSS) 的预后编号有限.
准确的生存预测对于RPS患者的治疗计划和临床试验分层至关重要.

研究的目的:

开发和验证用于预测OS和CSS在患有原发性逆肌肉瘤的患者的预后性名录.
确定影响RPS生存结果的关键临床病理因素.

主要方法:

利用了1166名RPS患者 (SEER数据库) 和261名三级癌症中心的数据.
开发了多变量Cox模型与向后选择 (Akaike信息标准) 用于名ogram构造.
使用校准图表,C指数和时间依赖的ROC曲线 (3年,5年,7年预测) 验证的诺姆图.

主要成果:

选择的变量:年龄,FNCLCC等级,化疗,瘤大小,主要部位手术和多焦点性.
诺米图表表现出良好的校准和区别,C指数为0.76 (OS) 和0.81 (CSS).
高精度通过AUC值证实为3年,5年和7年的OS (0.84-0.78) 和CSS (0.88-0.85).

结论:

开发了准确且经过验证的诺姆图,用于预测原发性逆肌肉瘤患者的OS和CSS.
诺米图为明智决策,患者咨询和临床试验分层提供了宝贵的临床实用性.
这些工具提高了预后准确性和个性化RPS治疗策略.

关键词:

预测模型的预测模型.预测因素预测因素逆皮质肉瘤是一种逆皮质肉瘤.风险选风险选风险选风险选塞尔·塞尔 (Seer) 是一个看得见的人.幸存的生存方式

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