用电子健康记录在TKI治疗的NSCLC患者中实现现实数据整合的数据分析
概括
实践数据分析显示,与其他类型的氨酸激酶抑制剂相比,奥西默蒂尼布在晚期非小细胞肺癌患者中显著改善了治疗持续时间和整体存活率.
科学领域:
- 在瘤学瘤学.
- 数据科学数据科学数据科学
- 药物监督 药物监督 药物监督
背景情况:
- 来自电子健康记录 (EHR) 的现实世界数据 (RWD) 对于分析癌症药物有效性至关重要.
- 开发了一个分析框架,从RWD中生成现实世界的证据 (RWE).
- 这一框架适用于使用氨酸激酶抑制剂 (TKI) 治疗的晚期非小细胞肺癌 (aNSCLC) 患者.
研究的目的:
- 研究用TKIs治疗的aNSCLC患者的现实世界治疗模式和临床结果.
- 为了比较一线 osimertinib 与 EGFR 突变 aNSCLC 的其他 TKIs 的疗效.
- 为了证明RWD分析在癌症研究中的实用性.
主要方法:
- 从190名EGFR突变aNSCLC患者 (2014-2022) 进行了回顾性数据收集.
- 通过使用EHR上的文本挖掘算法,分析用osimertinib或非osimertinib的TKIs进行一线治疗的分析.
- 使用卡普兰-梅尔曲线估计的生存终点 (mTTD,mOS) 并使用时间依赖的考克斯回归分析.
主要成果:
- 第一线 osimertinib (38%的患者) 显示更长的中位时间停止治疗 (15 个月vs 10 个月).
- 奥西默提尼布是一种独立的保护因子,可以防止不良事件.
- 与 osimertinib (27个月相比20.2个月) 的中位数整体存活时间更长.
结论:
- 数据分析框架有效地整合了用于癌症研究的RWE.
- 对TKIs的现实世界治疗模式和结果与临床试验数据可比.
- RWE研究支持癌症治疗的临床决策和健康政策制定.
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