Unanchored simulated treatment comparison on survival outcomes using parametric and Royston-Parmar models with application to lenvatinib plus pembrolizumab in renal cell carcinoma.

IF 3.4 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES BMC Medical Research Methodology Pub Date : 2025-01-30 DOI:10.1186/s12874-025-02480-x
Christopher G Fawsitt, Janice Pan, Philip Orishaba, Christopher H Jackson, Howard Thom
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Abstract

Background: Population-adjusted indirect comparison using parametric Simulated Treatment Comparison (STC) has had limited application to survival outcomes in unanchored settings. Matching-Adjusted Indirect Comparison (MAIC) is commonly used but does not account for violation of proportional hazards or enable extrapolations of survival. We developed and applied a novel methodology for STC in unanchored settings. We compared overall survival (OS) and progression-free survival (PFS) of lenvatinib plus pembrolizumab (LEN + PEM) against nivolumab plus ipilimumab (NIVO + IPI), pembrolizumab plus axitinib (PEM + AXI), avelumab plus axitinib (AVE + AXI), and nivolumab plus cabozontanib (NIVO + CABO) in patients with advanced renal cell carcinoma (RCC). Unanchored comparison was necessitated as the control groups differed in their use of PD-1/PD-L1 rescue therapy.

Methods: We fit covariate-adjusted survival models to individual patient data from phase 3 trial of LEN + PEM, including standard parametric distributions and Royston-Parmar spline models with up to 3 knots. We used these models to predict OS and PFS in the population of comparator treatments. The base case model was selected by minimum Akaike Information Criterion (AIC). Treatment effects were measured using difference in restricted mean survival time (RMST), over shortest follow-up of input trials, and hazard ratios at 6, 12, 18, and 24 months.

Results: The survival model with the lowest AIC was 1-knot spline odds for OS and log-logistic for PFS. Difference in RMST OS was 6.90 months (95% CI: 1.95, 11.36), 5.31 (3.58, 7.28), 5.99 (1.82, 9.42), and 11.59 (8.41, 15.38) versus NIVO + IPI (over 64.8 months follow-up), AVE + AXI (46.7 months), PEM + AXI (64.8 months), NIVO + CABO (53.0 months), respectively. Difference in RMST PFS was 4.50 months (95% CI: 0.92, 8.26), 8.23 (5.60, 10.57), 5.38 (2.06, 9.09), and 4.58 (0.09, 9.44) versus NIVO + IPI (over 57.8 months), AVE + AXI (44.9 months), PEM + AXI (57.8 months), NIVO + CABO (23.8 months), respectively. Hazard ratios indicated strong evidence of greater OS and PFS on LEN + PEM at most timepoints.

Conclusions: We developed and applied a novel methodology for comparing survival outcomes in unanchored settings using STC. Pending investigation with a simulation study or further examples, this methodology could be used for clinical decision-making and, if long-term data are available, inform economic models designed to extrapolate outcomes for the evaluation of lifetime cost-effectiveness.

Trial registration: NCT02811861 (registered: 23/06/2016).

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使用参数模型和Royston-Parmar模型对lenvatinib + pembrolizumab治疗肾细胞癌的生存结果进行无锚定模拟治疗比较。
背景:使用参数模拟治疗比较(STC)的人口调整间接比较在非锚定环境下的生存结果应用有限。匹配调整间接比较(MAIC)是常用的方法,但不能解释违反比例风险或使生存推断成为可能。我们开发并应用了一种新的STC方法。我们比较了lenvatinib + pembrolizumab (LEN + PEM)与nivolumab + ipilimumab (NIVO + IPI)、pembrolizumab + axitinib (PEM + AXI)、avelumab + axitinib (AVE + AXI)和nivolumab + cabozontanib (NIVO + CABO)在晚期肾细胞癌(RCC)患者中的总生存期(OS)和无进展生存期(PFS)。由于对照组在PD-1/PD-L1抢救治疗的使用上存在差异,因此需要进行非锚定比较。方法:我们将协变量调整的生存模型拟合到LEN + PEM 3期试验的个体患者数据中,包括标准参数分布和最大3节的Royston-Parmar样条模型。我们使用这些模型来预测比较治疗人群的OS和PFS。采用最小赤池信息准则(AIC)选择基本情况模型。治疗效果通过限制平均生存时间(RMST)的差异、输入试验的最短随访时间和6、12、18和24个月的风险比来衡量。结果:AIC最低的生存模型OS为1节样条赔率,PFS为logistic。与NIVO + IPI(超过64.8个月的随访)、AVE + AXI(46.7个月)、PEM + AXI(64.8个月)、NIVO + CABO(53.0个月)相比,RMST OS的差异分别为6.90个月(95% CI: 1.95、11.36)、5.31(3.58、7.28)、5.99(1.82、9.42)和11.59(8.41、15.38)。与NIVO + IPI(超过57.8个月)、AVE + AXI(44.9个月)、PEM + AXI(57.8个月)、NIVO + CABO(23.8个月)相比,RMST PFS的差异分别为4.50个月(95% CI: 0.92, 8.26)、8.23(5.60,10.57)、5.38(2.06,9.09)和4.58(0.09,9.44)。风险比表明,在大多数时间点,LEN + PEM的OS和PFS更高。结论:我们开发并应用了一种新的方法来比较无锚定环境下STC的生存结果。在进行模拟研究或进一步的实例调查之前,该方法可用于临床决策,如果有长期数据可用,则可为旨在推断结果以评估终身成本效益的经济模型提供信息。试验注册:NCT02811861(注册日期:23/06/2016)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medical Research Methodology
BMC Medical Research Methodology 医学-卫生保健
CiteScore
6.50
自引率
2.50%
发文量
298
审稿时长
3-8 weeks
期刊介绍: BMC Medical Research Methodology is an open access journal publishing original peer-reviewed research articles in methodological approaches to healthcare research. Articles on the methodology of epidemiological research, clinical trials and meta-analysis/systematic review are particularly encouraged, as are empirical studies of the associations between choice of methodology and study outcomes. BMC Medical Research Methodology does not aim to publish articles describing scientific methods or techniques: these should be directed to the BMC journal covering the relevant biomedical subject area.
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