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从非小细胞肺癌的真实世界数据中确定治疗方案。

Determining Line of Therapy from Real-World Data in Non-Small Cell Lung Cancer.

机构信息

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Department of Medicine, Georgetown University, Washington, DC, USA.

出版信息

Pharmacoepidemiol Drug Saf. 2024 Dec;33(12):e70049. doi: 10.1002/pds.70049.

Abstract

INTRODUCTION

Determining lines of therapy (LOT) using real-world data is crucial to inform clinical decisions and support clinical research. Existing rules for determining LOT in patients with metastatic non-small cell lung cancer (mNSCLC) do not incorporate the growing number of targeted therapies used in treatment today. Therefore, we propose rules for determining LOT from real-world data of patients with mNSCLC treated with targeted therapies.

METHODS

LOT rules were developed through expert consensus using a real-world cohort of 550 patients with ALK+ or ROS1+ mNSCLC in the multi-institutional, electronic medical record-based Academic Thoracic Oncology Medical Investigators Consortium's (ATOMIC) Driver Mutation Registry. Rules were subsequently modified based on a review of appropriate LOT determination. These resulting rules were then applied to an independent cohort of patients with EGFR+ mNSCLC to illustrate their use.

RESULTS

Six rules for determining LOTs were developed. Among 1133 patients with EGFR mutations and mNSCLC, a total of 3168 regimens were recorded with a median of 2 regimens per patient (IQR, 1-4; range, 1-13). After applying our rules, there were 2834 total LOTs with a median of 2 LOTs per patient (IQR, 1-3; range, 1-11). Rules 1-3 kept 11% of regimen changes from advancing the LOT. When compared to previously published rules, LOT assignments differed 5.7% of the time, mostly in LOTs with targeted therapy.

CONCLUSION

These rules provide an updated framework to evaluate current treatment patterns, accounting for the increased use of targeted therapies in patients with mNSCLC, and promote standardization of methods for determining LOT from real-world data.

摘要

简介

使用真实世界数据确定治疗线(LOT)对于做出临床决策和支持临床研究至关重要。目前用于确定转移性非小细胞肺癌(mNSCLC)患者 LOT 的规则并未纳入当今治疗中使用的越来越多的靶向疗法。因此,我们提出了一种使用接受靶向治疗的 mNSCLC 患者真实世界数据确定 LOT 的规则。

方法

通过使用多机构、基于电子病历的学术胸部肿瘤医学调查员协会(ATOMIC)驱动基因突变登记处中 550 名 ALK+或 ROS1+ mNSCLC 患者的真实世界队列,通过专家共识制定 LOT 规则。随后根据对适当 LOT 确定的审查对规则进行了修改。然后将这些规则应用于具有 EGFR+ mNSCLC 的独立患者队列,以说明其使用情况。

结果

制定了 6 条 LOT 确定规则。在 1133 名具有 EGFR 突变和 mNSCLC 的患者中,共记录了 3168 种方案,每名患者的中位数为 2 种方案(IQR,1-4;范围,1-13)。应用我们的规则后,共有 2834 个 LOT,每名患者的中位数为 2 个 LOT(IQR,1-3;范围,1-11)。规则 1-3 使 11%的方案变更可推进 LOT。与以前发表的规则相比,LOT 分配的差异为 5.7%,主要是在 LOT 中使用了靶向治疗。

结论

这些规则提供了一个更新的框架,用于评估当前的治疗模式,考虑到 mNSCLC 患者中靶向治疗的使用增加,并促进了从真实世界数据中确定 LOT 的方法的标准化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f071/11588435/71fa6c76c084/PDS-33-e70049-g001.jpg

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