使用和报告监管研究的历史控制数据

IF 3.3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
EFSA Panel on Plant Protection Products and their Residues (PPR), Tamara Coja, Pauline Adriaanse, Judy Choi, Antonio Finizio, Maeva Giraudo, Thomas Kuhl, Francesca Metruccio, Martin Paparella, Silvia Pieper, Eugenio Scanziani, Ivana Teodorovic, Paul Van der Brink, Peter Craig, Bertrand Desprez, Ian Dewhurst, Emily McVey, Arianna Chiusolo, Anna Lanzoni, Sara Levorato, Laura Martino, Tommaso Giorgi, Martin Wilks
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引用次数: 0

摘要

提供历史控制数据(HCD)是欧洲立法对农药活性物质的一项数据要求。HCD是在与正在评估的毒性研究(指数研究)相同或相似的条件下进行的研究的数据。目前,HCD的整理、使用和解释尚未统一。植物保护产品及其残留物问题小组制定了本科学意见,以阐明解释用于监管目的的研究中使用HCD的要求,澄清HCD应如何作为监管档案的一部分进行汇编,并协助在评估监管研究的背景下解释HCD。本意见提出了一种循序渐进的定量方法,使用一种决策方案,其中包括分为三个总体活动集群的七个不同步骤:(1)规划,(2)评估HCD和(3)使用HCD。在规划阶段,应制订一项议定书,以整理有关的人力资源管理资料及其预期的评价和分析。第2组处理HCD所需的数据,包括使用这些数据进行定量统计分析。最后选择一组HCD,并对研究内部和研究之间的变异性进行建模。在聚类3中将HCD与并发对照数据集进行统计比较,并将HCD纳入指数研究的分析,包括影响或敏感性分析。为了演示决策方案对不同数据类型的应用,准备了三个案例研究。该意见还提供了改进数据提交一致性的模板,并讨论了与HCD解释相关的混淆/协变量方面。《意见》的实际应用要求在分析数据和得出结论时密切交流毒理学和统计学方面的投入。建议在每次计划提交和解释HCD时考虑学科之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Use and reporting of historical control data for regulatory studies

Use and reporting of historical control data for regulatory studies

Use and reporting of historical control data for regulatory studies

Use and reporting of historical control data for regulatory studies

Use and reporting of historical control data for regulatory studies

The provision of historical control data (HCD) is a data requirement for pesticide active substances established by European legislation. HCD are data from studies conducted under the same or similar conditions as the toxicity study under assessment (index study). The collation, use and interpretation of HCD is currently not harmonised. The Panel on Plant Protection Products and their Residues developed this Scientific Opinion to elucidate the requirements for the use of HCD for interpretation of studies used for regulatory purposes, clarify how HCD should be compiled as part of the regulatory dossier and assist the interpretation of HCD in the context of the evaluation of regulatory studies. This Opinion proposes a stepwise, quantitative approach using a decision scheme which includes seven distinct steps grouped in three overall clusters of activity: (1) planning, (2) evaluation of the HCD and (3) use of HCD. In the planning phase, a protocol for collating the relevant HCD as well as their expected evaluation and analysis should be developed. Cluster 2 deals with the data requirements for HCD, including their use for quantitative statistical analysis. A final set of HCD is selected and the variability within and between studies is modelled. Statistical comparison of the HCD with the concurrent control data set and integration of the HCD into the analysis of the index study is carried out in cluster 3, including an influence or sensitivity analysis. To demonstrate the application of the decision scheme to different data types, three case studies have been prepared. The Opinion also offers templates to improve harmonisation for data submission and discusses confounding/covariate aspects related to HCD interpretation. Practical application of the Opinion requires a close exchange of toxicological and statistical input in the analysis of data and derivation of conclusions. It is recommended to consider this interaction between the disciplines every time submission and interpretation of HCD is planned.

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来源期刊
EFSA Journal
EFSA Journal Veterinary-Veterinary (miscellaneous)
CiteScore
5.20
自引率
21.20%
发文量
422
审稿时长
5 weeks
期刊介绍: The EFSA Journal covers methods of risk assessment, reports on data collected, and risk assessments in the individual areas of plant health, plant protection products and their residues, genetically modified organisms, additives and products or substances used in animal feed, animal health and welfare, biological hazards including BSE/TSE, contaminants in the food chain, food contact materials, enzymes, flavourings and processing aids, food additives and nutrient sources added to food, dietetic products, nutrition and allergies.
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