Toward implementing virtual control groups in nonclinical safety studies

Historical data from control groups in animal toxicity studies is 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 for building so-called virtual control groups, which could replace partly or entirely the concurrent control. 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, pharmaceutical, 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:41

Enthalten in:

ALTEX - 41(2024), 2 vom: 01., Seite 282-301

Sprache:

Englisch

Beteiligte Personen:

Golden, Emily [VerfasserIn]
Allen, David [VerfasserIn]
Amberg, Alexander [VerfasserIn]
Anger, Lennart T [VerfasserIn]
Baker, Elizabeth [VerfasserIn]
Baran, Szczepan W [VerfasserIn]
Bringezu, Frank [VerfasserIn]
Clark, Matthew [VerfasserIn]
Duchateau-Nguyen, Guillemette [VerfasserIn]
Escher, Sylvia E [VerfasserIn]
Giri, Varun [VerfasserIn]
Grevot, Armelle [VerfasserIn]
Hartung, Thomas [VerfasserIn]
Li, Dingzhou [VerfasserIn]
Lotfi, Laura [VerfasserIn]
Muster, Wolfgang [VerfasserIn]
Snyder, Kevin [VerfasserIn]
Wange, Ronald [VerfasserIn]
Steger-Hartmann, Thomas [VerfasserIn]

Links:

Volltext

Themen:

Data sharing
Historical control data
Journal Article
Pharmaceutical Preparations
Reduction of animal use
Regulatory acceptance
Statistical analysis

Anmerkungen:

Date Completed 17.04.2024

Date Revised 19.04.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.14573/altex.2310041

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365341185