Animal experiments scrutinised: systematic reviews demonstrate poor human clinical and toxicological utility

Andrew Knight1

  • 1Animal Consultants International, London, UK.

ALTEX
|February 22, 2008
PubMed

Insights

Animal models are widely used but often fail to predict human outcomes in clinical and toxicity testing. Formal validation is needed to ensure reliability and reduce resource waste.

Area of Science:

  • Biomedical Research
  • Toxicology
  • Animal Model Validation

Background:

  • Animal models are foundational in toxicity testing and disease research.
  • Their predictive accuracy for human outcomes is widely assumed but rarely rigorously evaluated.

Purpose of the Study:

  • To systematically review the human clinical and toxicological utility of animal experiments.
  • To assess the validity of the assumption that animal models predict human outcomes.

Main Methods:

  • Searched Scopus biomedical databases for systematic reviews on animal experiment utility.
  • Included reviews of clinical utility, toxicological predictions, and chimpanzee studies.
  • Assessed methodological quality across included reviews.

Main Results:

  • Only 2 of 20 reviews found animal models substantially useful for clinical outcomes; one was contentious.
  • Seven reviews showed no clear utility for predicting human toxicological outcomes.
  • No reviews featured a majority of high-quality animal experiments; interspecies differences and poor methodology were key issues.

Conclusions:

  • Animal model utility for predicting human clinical and toxicological outcomes is often poor.
  • Formal validation of all models, including animal models, is crucial.
  • A ban on animal models lacking demonstrated human predictivity is justified due to costs and poor utility.

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