Emily Golden, David Allen, Alexander Amberg, Lennart T Anger, Elizabeth Baker, Szczepan W Baran, Frank Bringezu, Matthew Clark, Guillemette Duchateau-Nguyen, Sylvia E Escher, Varun Giri, Armelle Grevot, Thomas Hartung, Dingzhou Li, Laura Lotfi, Wolfgang Muster, Kevin Snyder, Ronald Wange, Thomas Steger-Hartmann
{"title":"在非临床安全性研究中实施虚拟控制组。","authors":"Emily Golden, David Allen, Alexander Amberg, Lennart T Anger, Elizabeth Baker, Szczepan W Baran, Frank Bringezu, Matthew Clark, Guillemette Duchateau-Nguyen, Sylvia E Escher, Varun Giri, Armelle Grevot, Thomas Hartung, Dingzhou Li, Laura Lotfi, Wolfgang Muster, Kevin Snyder, Ronald Wange, Thomas Steger-Hartmann","doi":"10.14573/altex.2310041","DOIUrl":null,"url":null,"abstract":"<p><p>Historical data from control groups in animal toxicity studies are currently mainly used for comparative purposes to assess validity and robustness of study results. Due to the highly controlled environment in which the studies are performed and the homogeneity of the animal collectives it has been proposed to use the historical data to build so-called virtual control groups, which could partly or entirely replace the concurrent control group. This would constitute a substantial contribution to the reduction of animal use in safety studies. Before the concept can be implemented, the prerequisites regarding data collection, curation, and statistical evaluation together with a validation strategy need to be identified to avoid any impairment of the study outcome and subsequent consequences for human risk assessment. To further assess and develop the concept of virtual control groups, the transatlantic think tank for toxicology (t4) sponsored a workshop with stakeholders from the pharmaceutical and chemical industry, academia, FDA, contract research organizations (CROs), and non-governmental organizations in Washington, which took place in March 2023. This report summarizes the current efforts of a European initiative to share, collect, and curate animal control data in a centralized database and the first approaches to identify optimal matching criteria between virtual controls and the treatment arms of a study as well as first reflections about strategies for a qualification procedure and potential pitfalls of the concept.</p>","PeriodicalId":51231,"journal":{"name":"Altex-Alternatives To Animal Experimentation","volume":" ","pages":"282-301"},"PeriodicalIF":4.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward implementing virtual control groups in nonclinical safety studies.\",\"authors\":\"Emily Golden, David Allen, Alexander Amberg, Lennart T Anger, Elizabeth Baker, Szczepan W Baran, Frank Bringezu, Matthew Clark, Guillemette Duchateau-Nguyen, Sylvia E Escher, Varun Giri, Armelle Grevot, Thomas Hartung, Dingzhou Li, Laura Lotfi, Wolfgang Muster, Kevin Snyder, Ronald Wange, Thomas Steger-Hartmann\",\"doi\":\"10.14573/altex.2310041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Historical data from control groups in animal toxicity studies are currently mainly used for comparative purposes to assess validity and robustness of study results. Due to the highly controlled environment in which the studies are performed and the homogeneity of the animal collectives it has been proposed to use the historical data to build so-called virtual control groups, which could partly or entirely replace the concurrent control group. This would constitute a substantial contribution to the reduction of animal use in safety studies. Before the concept can be implemented, the prerequisites regarding data collection, curation, and statistical evaluation together with a validation strategy need to be identified to avoid any impairment of the study outcome and subsequent consequences for human risk assessment. To further assess and develop the concept of virtual control groups, the transatlantic think tank for toxicology (t4) sponsored a workshop with stakeholders from the pharmaceutical and chemical industry, academia, FDA, contract research organizations (CROs), and non-governmental organizations in Washington, which took place in March 2023. This report summarizes the current efforts of a European initiative to share, collect, and curate animal control data in a centralized database and the first approaches to identify optimal matching criteria between virtual controls and the treatment arms of a study as well as first reflections about strategies for a qualification procedure and potential pitfalls of the concept.</p>\",\"PeriodicalId\":51231,\"journal\":{\"name\":\"Altex-Alternatives To Animal Experimentation\",\"volume\":\" \",\"pages\":\"282-301\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Altex-Alternatives To Animal Experimentation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.14573/altex.2310041\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/12/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Altex-Alternatives To Animal Experimentation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.14573/altex.2310041","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Toward implementing virtual control groups in nonclinical safety studies.
Historical data from control groups in animal toxicity studies are currently mainly used for comparative purposes to assess validity and robustness of study results. Due to the highly controlled environment in which the studies are performed and the homogeneity of the animal collectives it has been proposed to use the historical data to build so-called virtual control groups, which could partly or entirely replace the concurrent control group. This would constitute a substantial contribution to the reduction of animal use in safety studies. Before the concept can be implemented, the prerequisites regarding data collection, curation, and statistical evaluation together with a validation strategy need to be identified to avoid any impairment of the study outcome and subsequent consequences for human risk assessment. To further assess and develop the concept of virtual control groups, the transatlantic think tank for toxicology (t4) sponsored a workshop with stakeholders from the pharmaceutical and chemical industry, academia, FDA, contract research organizations (CROs), and non-governmental organizations in Washington, which took place in March 2023. This report summarizes the current efforts of a European initiative to share, collect, and curate animal control data in a centralized database and the first approaches to identify optimal matching criteria between virtual controls and the treatment arms of a study as well as first reflections about strategies for a qualification procedure and potential pitfalls of the concept.
期刊介绍:
ALTEX publishes original articles, short communications, reviews, as well as news and comments and meeting reports. Manuscripts submitted to ALTEX are evaluated by two expert reviewers. The evaluation takes into account the scientific merit of a manuscript and its contribution to animal welfare and the 3R principle.