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多发性骨髓瘤中无进展生存期和总生存期治疗效果的关系:基于已发表临床试验数据的系统评价和荟萃分析。

Relationship between treatment effects on progression-free survival and overall survival in multiple myeloma: a systematic review and meta-analysis of published clinical trial data.

机构信息

Optum, Eden Prairie, MN, USA.

出版信息

Oncol Res Treat. 2015;38(3):88-94. doi: 10.1159/000375392. Epub 2015 Feb 20.

Abstract

BACKGROUND

Demonstrating improved overall survival (OS) with new multiple myeloma (MM) treatments is becoming difficult because of extended survival, so progression-free survival (PFS) is commonly used as a surrogate endpoint for OS. We evaluated PFS as a potential surrogate for OS by examining whether observed treatment effects on PFS are positively associated with treatment effects on OS in MM.

METHODS

A systematic literature review identified 21 randomized control trials reporting hazard ratios (HRs) for treatment effects on PFS and OS. Pearson's r estimated the relationship between HRs (HRPFS and HROS), and between log-transformed HRs (log(HRPFS) and log(HROS)). R(2) values were estimated from linear regression models of the HR and the log(HR) relationships. Sensitivity and subgroup analyses examined the robustness of the HR findings.

RESULTS

Positive correlations were found between HRPFS and HROS (r = 0.82; p < 0.0001) and between log(HRPFS) and log(HROS) (r = 0.80; p < 0.0001). Linear regression models produced R(2) values of 0.67 and 0.63 when regressing HROS on HRPFS, and log(HROS) on log(HRPFS), respectively. Sensitivity analyses supported the HR findings.

CONCLUSION

This analysis provides evidence for a positive association between treatment effects on PFS and OS. Studies involving patient level data are necessary to confirm whether PFS is a valid surrogate for OS in MM.

摘要

背景

由于生存期延长,新的多发性骨髓瘤(MM)治疗方法的总生存期(OS)改善越来越难证明,因此无进展生存期(PFS)通常被用作 OS 的替代终点。我们通过检查 PFS 上观察到的治疗效果是否与 MM 中 OS 上的治疗效果呈正相关,来评估 PFS 是否是 OS 的潜在替代终点。

方法

系统文献回顾确定了 21 项报告 PFS 和 OS 治疗效果风险比(HR)的随机对照试验。Pearson's r 用于估计 HR 之间的关系(HRPFS 和 HROS),以及对数转换 HR 之间的关系(log(HRPFS) 和 log(HROS))。线性回归模型用于估计 HR 和 log(HR)关系的 R²值。敏感性和亚组分析检查了 HR 结果的稳健性。

结果

发现 HRPFS 和 HROS 之间存在正相关(r = 0.82;p < 0.0001),以及 log(HRPFS) 和 log(HROS) 之间存在正相关(r = 0.80;p < 0.0001)。当分别将 HROS 回归到 HRPFS 以及将 log(HROS) 回归到 log(HRPFS)时,线性回归模型产生了 0.67 和 0.63 的 R²值。敏感性分析支持 HR 结果。

结论

该分析为 PFS 和 OS 上的治疗效果之间存在正相关提供了证据。需要涉及患者水平数据的研究来确认 PFS 是否是 MM 中 OS 的有效替代终点。

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