five

Combination of EGFR-TKIs and Chemotherapy as First-Line Therapy for Advanced NSCLC: A Meta-Analysis

收藏
Figshare2016-01-18 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/_Combination_of_EGFR_TKIs_and_Chemotherapy_as_First_Line_Therapy_for_Advanced_NSCLC_A_Meta_Analysis_/849771
下载链接
链接失效反馈
官方服务:
资源简介:
The impact of combining epidermal growth factor receptor tyrosine kinase inhibitors (EGFR–TKIs) and chemotherapy as first-line therapy for patients with advanced non-small-cell lung cancer (NSCLC) remains controversial. Therefore, randomized trials that compared this combined regimen with chemotherapy or EGFR–TKIs monotherapy were included for this meta-analysis. We used published hazard ratios (HRs), if available, or derived treatment estimates from other survival data. Pooled estimates of treatment efficacy of the combined regimen in the entire unselected population and selected patients by EGFR-mutation status and smoking history were calculated. Eight trials eventually entered into this meta-analysis, including 4585 patients. Overall, the combined regimen significantly delayed disease progression (HR = 0.81, 95% CI 0.69–0.95, P = 0.01); subgroup analysis showed significantly higher progression free survival advantages in Asian patients (PP = 0.02). In selected patients by EGFR-mutation, both mutation positive (HR = 0.48, 95% CI 0.28–0.83, P = 0.009) and negative (HR = 0.84, 95% CI 0.72–0.98, P = 0.02) patients gained progression free survival benefit from the combined regimen, albeit the magnitude of benefit was marginally larger in mutation positive patients (P = 0.05). In selected patients by smoking history, never/light smokers achieved a great progression free survival benefit from the combined regimen (HR = 0.51, 95% CI 0.35–0.74, P = 0.0004). Unfortunately, the combined regimen had no significant impact on overall survival, irrespective of ethnicity, dose schedules or EGFR-mutation status. Severe anorexia (RR = 2.01, 95% CI 1.11–3.63; P = 0.02) and diarrhea (RR = 2.70, 95% CI 1.94–3.76; P
创建时间:
2016-01-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作