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将估计量框架应用于临床药理学试验,并以生物等效性为例进行研究。

Applying the estimand framework to clinical pharmacology trials with a case study in bioequivalence.

作者信息

Lynggaard Helle, McKendrick Sue, Baird Mark, Kerwash Essam, Lanius Vivian, Lasch Florian, Wright David

机构信息

Biostatistics, Novo Nordisk A/S, Denmark.

PPD Clinical Research Business, Thermo Fisher Scientific, UK.

出版信息

Br J Clin Pharmacol. 2025 Feb;91(2):310-324. doi: 10.1111/bcp.16347. Epub 2024 Nov 25.

DOI:10.1111/bcp.16347
PMID:39587445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11773105/
Abstract

The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use has published an addendum on estimands and sensitivity analysis in clinical trials along with related training materials. These define an estimand as a precise description of the treatment effect that reflects the scientific question of interest. In December 2022, the US Food and Drug Administration released draft guidance recommending estimands of interest be specified in bioequivalence trial protocols. However, experience in implementing estimands in clinical pharmacology trials is limited and so we introduce estimands and provide step-by-step considerations about the estimand thinking process in this setting. We also describe a particular case study, a bioequivalence trial, illustrating how the estimand framework can provide transparency and alignment throughout the design, conduct and analysis of the trial. This involves discussion of how to identify and handle intercurrent events, which are events that can affect interpretation of the drug or metabolite endpoints. Furthermore, we discuss the broader applicability of the estimand framework to other clinical pharmacology trials. Finally, we encourage further discussion between industry, academia, regulators and the International Council for Harmonisation on whether the estimand framework should be considered in all clinical pharmacology regulatory guidance documents.

摘要

人用药品注册技术国际协调理事会发布了一份关于临床试验中估计量和敏感性分析的增编以及相关培训材料。这些材料将估计量定义为对治疗效果的精确描述,它反映了感兴趣的科学问题。2022年12月,美国食品药品监督管理局发布了草案指南,建议在生物等效性试验方案中明确感兴趣的估计量。然而,在临床药理学试验中实施估计量的经验有限,因此我们在此介绍估计量,并提供在这种情况下关于估计量思考过程的逐步考量。我们还描述了一个具体的案例研究,即一项生物等效性试验,说明估计量框架如何在试验的设计、实施和分析过程中提供透明度和一致性。这涉及讨论如何识别和处理并发事件,并发事件是指可能影响对药物或代谢物终点解释的事件。此外,我们讨论了估计量框架在其他临床药理学试验中的更广泛适用性。最后,我们鼓励行业、学术界、监管机构和人用药品注册技术国际协调理事会就是否应在所有临床药理学监管指南文件中考虑估计量框架展开进一步讨论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/7471bd456049/BCP-91-310-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/2ca871a60da8/BCP-91-310-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/53ea7e40b223/BCP-91-310-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/7471bd456049/BCP-91-310-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/2ca871a60da8/BCP-91-310-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/53ea7e40b223/BCP-91-310-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa88/11773105/7471bd456049/BCP-91-310-g003.jpg

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