使用罗伊斯顿-阿尔特曼方法手术后肝细胞癌复发模型的外部验证
Shizheng Mi1, Fangli Xiong2, Xinyan Li3
1Department of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
概括
外部验证Cox模型用于手术后肝癌复发,确定了一个没有重新装配的最佳模型. 这有助于预测术后复发并改善患者的生存结果.
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:
- 肝细胞癌 (HCC) 肝切除术后复发影响高达70%的患者,影响长期存活率.
- 现有的Cox模型用于预测术后复发缺乏全面的外部验证.
研究的目的:
- 系统编译和外部验证现有的Cox模型,用于预测肝切除术后肝细胞癌复发.
- 为了确定一个最优的预测模型术后复发,而不需要重新调整模型.
主要方法:
- 在PubMed和Web of Science数据库中的系统文献搜索.
- 对接受治愈切除术的HCC患者进行回顾性队列研究.
- 使用罗伊斯顿-阿尔特曼方法对10个Cox模型进行1级和2级外部验证.
主要成果:
- 考克斯模型使用西中国医院队列进行了外部验证.
- 在不同模型中,校准斜率差异很大,在2级验证中,只有一个模型有效地区分高风险和低风险群体.
- 通过外部验证而没有重新装配,确定了最佳预测模型.
结论:
- 通过外部验证,通过外部验证确定了一个最佳的Cox模型来预测肝切除术后的HCC复发.
- 识别的模型证明了在不同地区和机构的适用性.
- 这种验证方法可以为外科瘤学的未来预后模型开发提供信息.
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