CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Defining value criteria for outcomes-based managed entry agreements in CAR-T therapy for relapsed/refractory multiple myeloma: a multi-criteria decision analysis study.
Defining value criteria for outcomes-based managed entry agreements in CAR-T therapy for relapsed/refractory multiple myeloma: a multi-criteria decision analysis study.
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在这项结构化的MCDA-informed专家权重评估中,OS和PFS被确定为设计和监测RRMM中CAR-T 疗法基于结果的MEAs的最高优先级价值标准。
本研究旨在从医疗专业人员和决策者的角度,确定并优先排序用于设计 and 监测复发/难治性多发性骨髓瘤(RRMM)中CAR-T 细胞治疗基于结局的管理准入协议(MEA)的标准。
采用改编的EVIDEM框架开展了一项结构化的MCDA知情专家权重评估。该研究包括两个阶段:a)通过针对性文献综述和科学委员会(SC)共识对标准进行选择和构建;b)由医院药师、医师和评估者/决策者组成的多学科专家组(n = 19)对标准和子标准进行非层级权重赋值。
共确定了12项标准。经指导委员会讨论后,选择5项标准进行加权:疗效、安全性、患者报告结局、治疗成本和其他直接医疗成本。在加权子标准中,总生存期(OS)和无进展生存期(PFS)得分最高,均值分别为4.21(95% CI:3.68-4.74)和4.05(95% CI:3.52-4.58)。
This study aimed to identify and prioritize criteria for designing and monitoring outcomes-based managed entry agreements (MEAs) for chimeric antigen receptor T-cell (CAR-T) therapy in relapsed/refractory multiple myeloma (RRMM), from the perspective of healthcare professionals and decision-makers. RESEARCH DESIGN AND METHODS: A structured MCDA-informed expert weighting exercise was conducted using an adapted EVIDEM framework. The study comprised two phases: a) selection and structuring of criteria through a targeted literature review and scientific committee (SC) consensus; and b) nonhierarchical weighting of criteria and sub-criteria by a multidisciplinary expert group (n = 19) of hospital pharmacists, physicians, and evaluators/decision-makers.
Twelve criteria were identified. Following SC discussion, five criteria were selected for weighting: efficacy, safety, patient-reported outcomes, treatment cost, and other direct medical costs. Among the weighted sub-criteria, overall survival (OS) and progression-free survival (PFS) achieved the highest scores, with mean values of 4.21 (95% CI: 3.68-4.74) and 4.05 (95% CI: 3.52-4.58), respectively.
In this structured MCDA-informed expert weighting exercise, OS and PFS were identified as the highest-priority value criteria for designing and monitoring outcomes-based MEAs for CAR-T therapies in RRMM. These findings may support feasible, evidence-based reimbursement models but require validation in larger and more diverse stakeholder groups.
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