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利用药物-疾病建模框架和 II 期数据进行的模拟预测了一线非小细胞肺癌的 III 期生存结局。

Simulations using a drug-disease modeling framework and phase II data predict phase III survival outcome in first-line non-small-cell lung cancer.

机构信息

Pharsight-A Certara Company, Marseille, France.

出版信息

Clin Pharmacol Ther. 2012 Nov;92(5):631-4. doi: 10.1038/clpt.2012.78. Epub 2012 Aug 22.

DOI:10.1038/clpt.2012.78
PMID:22910440
Abstract

Simulations were performed for carboplatin/paclitaxel (C/P) plus motesanib or bevacizumab vs. C/P as first-line treatment for advanced non-small-cell lung cancer (NSCLC) using a published drug-disease model. With 700 patients in each arm, simulated hazard ratios for motesanib (0.87; 95% confidence interval [CI], 0.71-1.1) and bevacizumab (0.89; 95% CI, 0.73-1.1) agreed with results from the respective phase III studies but did not discriminate between failed and successful studies. The current model may require further enhancement to improve its utility for predicting phase III outcomes.

摘要

采用发表的药物-疾病模型,对卡铂/紫杉醇(C/P)联合莫特塞尼布或贝伐珠单抗与 C/P 一线治疗晚期非小细胞肺癌(NSCLC)进行了模拟。在每个臂中,模拟莫特塞尼布(0.87;95%置信区间[CI],0.71-1.1)和贝伐珠单抗(0.89;95%CI,0.73-1.1)的风险比与各自的 III 期研究结果一致,但不能区分失败和成功的研究。目前的模型可能需要进一步增强,以提高其预测 III 期结果的实用性。

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