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溶出曲线相似性评价——最佳实践、决策树和全球协调。

Dissolution Profile Similarity Assessment-Best Practices, Decision Trees and Global Harmonization.

机构信息

Pharmaceutical Sciences and Clinical Supplies, Merck Sharp & Dohme LLC, 126 E. Lincoln Avenue, Rahway, New Jersey, 07065, USA.

Global Biostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Binger Straße 173, 55216, Ingelheim Am Rhein, Germany.

出版信息

AAPS J. 2023 Apr 21;25(3):44. doi: 10.1208/s12248-023-00795-5.

Abstract

During the write-up of the meeting summary reports from the 2019 dissolution similarity workshop held at the University of Maryland's Center of Excellence in Regulatory Science and Innovation (M-CERSI), several coauthors continued their discussions to develop a "best-practice" document defining the steps required to assess dissolution profiles in support of certain biowaivers and postapproval changes. In previous reports, current challenges related to dissolution profile studies were discussed such that the steps outlined in the two flow charts ("decision trees") presented here can be applied. These decision trees include both recommendations for the use of equivalence procedures between reference and test products as well as application of the dissolution safe space concept. Common approaches towards establishing dissolution safe spaces are described. This paper encourages the preparation of protocols clearly describing why and how testing is performed along with the expected pass/fail criteria prior to generating data on the materials to be evaluated. The target audience of this manuscript includes CMC regulatory scientists, laboratory analysts, as well as statisticians from industry and regulatory health agencies involved in the assessment of product quality via in vitro dissolution testing. Building upon previous publications, this manuscript provides a solution to the current ambiguity related to dissolution profile comparison. The principles outlined in this and previous manuscripts provide a basis for global regulatory alignment in the application of dissolution profile assessment to support manufacturing changes and biowaiver requests.

摘要

在马里兰大学卓越监管科学与创新中心(M-CERSI)举行的 2019 年溶出相似度专题研讨会会议纪要的编写过程中,几位共同作者继续讨论,以制定一份“最佳实践”文件,定义评估溶出曲线以支持某些生物豁免和批准后变更所需的步骤。在之前的报告中,讨论了与溶出曲线研究相关的当前挑战,以便可以应用此处呈现的两个流程图(“决策树”)中概述的步骤。这些决策树包括在参考产品和测试产品之间使用等效程序的建议,以及应用溶出安全区间概念。描述了建立溶出安全区间的常见方法。本文鼓励在生成要评估的材料的数据之前,编写明确说明测试原因和方式以及预期的通过/失败标准的方案。本文的目标受众包括 CMC 监管科学家、实验室分析师以及来自行业和监管卫生机构的统计学家,他们参与通过体外溶出试验评估产品质量。本文在前几篇出版物的基础上,为解决当前与溶出曲线比较相关的模糊性问题提供了一种解决方案。本文和前几篇论文中概述的原则为在应用溶出曲线评估以支持生产变更和生物豁免请求方面实现全球监管协调提供了基础。

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