开发和验证加速失效时间模型的原因特定的存活率和预后口腔状细胞癌:SEER数据分析分析
Phillip Awodutire1, Michael Kattan1, Oladimeji Adeniyi Akadiri2
1Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, United States of America.
PloS one
|August 26, 2024
概括
加速失效时间模型准确地预测了口腔状细胞癌的预后,超过了传统的Cox模型. 这种先进的统计方法改善了癌症患者的生存预测.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 生存分析的分析.
背景情况:
- 口腔状细胞癌 (OSCC) 是一种普遍存在的口腔恶性瘤,预后不佳.
- 生存率受到人口统计学和临床因素的重大影响.
- 准确的预后预测对于最佳的治疗决策和患者的结果至关重要.
研究的目的:
- 开发和验证一种加速失效时间 (AFT) 模型,用于预测OSCC患者的因果特定存活率 (CSS).
- 将AFT模型的预测性能与传统的Cox比例危险模型进行比较.
主要方法:
- 利用了OSCC患者的监测流行病学和最终结果 (SEER) 数据库 (2010-2020) 的数据.
- 使用I型通用半物流分布 (TIGHLD) 开发了一个AFT模型.
- 评估模型适应性 (AIC,BIC),可歧视性 (AUC) 和可预测性 (C指数,RMSE) 与经典的生存模型相比.
主要成果:
- 与考克斯模型 (AIC=47019,BIC=47177;C-index=0.336,RMSE=6.482) 相比,TIGHLD AFT模型表现出优越的适应性 (AIC=27370,BIC=27415) 和预测准确性 (C指数=0.780,RMSE=1.209).
- AFT模型显示出比Cox模型 (AUC=0.544) 更好的区分能力 (AUC=0.642).
- 预后因素如化疗,TNM阶段和瘤等级 (II/III) 影响了OSCC生存时间.
结论:
- AFT模型提供了一个比Cox PH模型更准确的方法来预测OSCC预后.
- 先进的统计模型对于提高生存预测和改善癌症患者的治疗结果至关重要.
- TIGHLD AFT模型为OSCC生存提供了强大的洞察力.
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