未经治疗的转移性鳞状非小细胞肺癌治疗方案的2SPD-032网络meta分析

Mdp Briceño Casado, S. Fénix-Caballero, V. Gimeno-Ballester, M. Domínguez-Cantero, B De La Calle Riaguas, E. A. Rey
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引用次数: 0

摘要

背景和重要性在未经治疗的转移性鳞状非小细胞肺癌(umSNSCLC)中使用多种治疗方案。紫杉醇-卡铂-派姆单抗组合(PC-pembrolizumab)最近被批准用于这一适应症。目的和目的通过网络荟萃分析(NMA)评估不同治疗方案在mSNSCLC中的比较疗效。材料和方法于2020年2月19日进行了一项检索,纳入标准如下:II/III期随机临床试验(RCT),包括用于umSNSCLC的药物,总生存期(OS)作为疗效终点。排除标准:伴有EGFR或ALK突变的mSNSCLC人群和没有与评估备选方案共同比较物的随机对照试验。通过NMA的直接和间接证据相结合,采用贝叶斯方法计算合并风险比(HR)。评估固定效应和随机效应。采用偏差信息标准(DIC)统计对模型进行比较。通过节点分裂模型对直接估计和间接估计的一致性进行评估,以评价NMA的一致性。作为非劣效性临床标准的最大可接受差异的Delta值设置为0.70(其倒数为1.43),用于计算PC-pembrolizumab试验中的样本量。结果共选择9个rct。PC是常用的比较物。固定效应模型的DIC值更有利。在直接和间接证据之间没有发现统计学上的显著差异,因此NMA是一致的。将PC-pembrolizumab联合作为参考(效果最大的治疗)。与卡铂-吉西他滨相比,OS的HR为1.4 (95% CI 0.89至2.3);1.6 (1.2 - 2.1) vs PC;1.5 (1.1 - 2.1) vs nab-PC-atezolizumab;1.8 (1.3 - 2.5) vs PC-figitumumab;1.4 (0.96 - 2.0) vs PC-motesanib;1.3 (0.66 - 2.5) vs PC-necitumumab;2.1 (0.86 - 5.0) vs PC-olaratumab;与pc -索拉非尼相比,2.9(1.7至4.8),与派姆单抗单药相比,1.2(0.82至1.7)。卡铂-吉西他滨、PC-motesanib、PC-necitumumab、PC-olaratumab和派姆单抗与pc -派姆单抗相比,差异无统计学意义。统计学上,PC-pembrolizumab优于PC、nab-PC-atezolizumab、PC-figitumumab和PC-sorafenib。根据delta值,两者之间可能存在临床相关的差异。结论及相关性NMA显示PC-pembrolizumab与卡铂-吉西他滨、PC-motesanib、PC-necitumumab、PC-olaratumab和pembrolizumab在umSNSCLC中的OS无显著差异,但可能存在临床相关差异。PC、nab-PC-atezolizumab、PC-figitumumab和PC-sorafenib均劣于PC-pembrolizumab,可能存在临床相关差异。参考文献和/或致谢利益冲突无利益冲突
本文章由计算机程序翻译,如有差异,请以英文原文为准。
2SPD-032 Network meta-analysis of therapeutic alternatives in untreated metastatic squamous non-small cell lung cancer
Background and importance Multiple therapeutic alternatives are used in untreated metastatic squamous non-small cell lung cancer (umSNSCLC). Paclitaxel–carboplatin–pembrolizumab combination (PC-pembrolizumab) has recently been authorised for this indication. Aim and objectives To assess the comparative efficacy among different therapeutic alternatives used in mSNSCLC through a network meta-analysis (NMA). Material and methods A search was conducted on 19 February 2020 with the following inclusion criteria: phase II/III randomised clinical trials (RCT), including drugs used in umSNSCLC, and overall survival (OS) as the efficacy endpoint. Exclusion criteria: mSNSCLC population with EGFR or ALK mutations and RCTs without a comparator common to the evaluated alternatives. Pooled hazard ratios (HR) were calculated by Bayesian methods, through the combination of direct and indirect evidence by the NMA. Fixed and random effects were evaluated. Deviance information criteria (DIC) statistics were used to compare the models. The agreement of direct and indirect estimations was assessed by node splitting models to evaluate the consistency of NMA. Delta value, maximum acceptable difference as clinical criterion of non-inferiority, was set at 0.70 (and its inverse, 1.43), used to calculate the sample size in the PC-pembrolizumab trial. Results Nine RCTs were selected. PC was the common comparator. The DIC value for the fixed effects model was more favourable. No statistically significant differences between direct and indirect evidence were found, and therefore NMA was consistent. The PC-pembrolizumab combination was considered as the reference (treatment with the greatest magnitude of effect). HR for OS were: 1.4 (95% CI 0.89 to 2.3) versus carboplatin–gemcitabine; 1.6 (1.2 to 2.1) versus PC; 1.5 (1.1 to 2.1) versus nab–PC-atezolizumab; 1.8 (1.3 to 2.5) versus PC-figitumumab; 1.4 (0.96 to 2.0) versus PC-motesanib; 1.3 (0.66 to 2.5) versus PC-necitumumab; 2.1 (0.86 to 5.0) versus PC-olaratumab; 2.9 (1.7 to 4.8) versus PC-sorafenib and 1.2 (0.82 to 1.7) versus pembrolizumab monotherapy. Carboplatin–gemcitabine, PC-motesanib, PC-necitumumab, PC-olaratumab and pembrolizumab did not present statistically significant differences compared with PC-pembrolizumab. Statistically significant benefit was observed for PC-pembrolizumab over PC, nab–PC-atezolizumab, PC-figitumumab and PC-sorafenib. According to the delta values, there could be clinically relevant differences among them. Conclusion and relevance NMA showed no significant differences in OS between PC-pembrolizumab and carboplatin–gemcitabine, PC-motesanib, PC-necitumumab, PC-olaratumab and pembrolizumab in umSNSCLC, but there could be clinically relevant differences. PC, nab–PC-atezolizumab, PC-figitumumab and PC-sorafenib were inferior to PC-pembrolizumab, with possible clinically relevant differences. References and/or acknowledgements Conflict of interest No conflict of interest
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