2020
DOI: 10.1371/journal.pone.0230141
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Design of composite measure schemes for comparative severity assessment in animal-based neuroscience research: A case study focussed on rat epilepsy models

Abstract: Comparative severity assessment of animal models and experimental interventions is of utmost relevance for harm-benefit analysis during ethical evaluation, an animal welfarebased model prioritization as well as the validation of refinement measures. Unfortunately, there is a lack of evidence-based approaches to grade an animal's burden in a sensitive, robust, precise, and objective manner. Particular challenges need to be considered in the

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Cited by 17 publications
(34 citation statements)
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References 38 publications
(81 reference statements)
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“…In terms of welfare, there is growing evidence that multimodal analysis is a more valuable approach towards evidence-based assessment of severity in laboratory animals [ 95 97 ]. In this study, we focused on burrowing and could not find differences between the groups besides the short-term decrease directly after resocialization.…”
Section: Discussionmentioning
confidence: 99%
“…In terms of welfare, there is growing evidence that multimodal analysis is a more valuable approach towards evidence-based assessment of severity in laboratory animals [ 95 97 ]. In this study, we focused on burrowing and could not find differences between the groups besides the short-term decrease directly after resocialization.…”
Section: Discussionmentioning
confidence: 99%
“…First, the selection of an appropriate animal model needs to consider the scientific aims of a study. However, whenever different alternate options meet the respective requirements, an animalwelfare based prioritization of models should be intensely considered from an ethical point of view for the choice of the model [24,25]. Therefore, it is of particular relevance to determine and compare the severity of different experimental models, and to assess possible refinement measures in an evidence-based manner.…”
Section: Discussionmentioning
confidence: 99%
“…The parameters of interest have been selected based on consortium data, which were obtained in adult rodent disease models, and which supported an informative value for the purpose of severity assessment (e.g. 8 , 9 , 12 20 ). Information about model-specific characteristics provide key elements for an evidence-based grading of severity, and allow filling of gaps in model-specific refinement recommendations 8 .…”
Section: Discussionmentioning
confidence: 99%
“…The applied candidate composite measure scheme was based on a comprehensive consortium data set for assessing and classifying severity in different adult rodent animal models 8 . Parameters with a high informative value were selected based on a bioinformatic approach among others comprising principal component analyses identifying the parameters best distinguishing between experimental and control animals and cross-correlation analyses guiding the selection of parameters with added value 9 , 10 .…”
Section: Introductionmentioning
confidence: 99%