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Influence of Distribution of Animals between Dose Groups on Estimated Benchmark Dose and Animal Distress for Quantal Responses

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  • Fereshteh Kalantari
  • Joakim Ringblom
  • Salomon Sand
  • Mattias Öberg

Abstract

Increasingly, dose‐response data are being evaluated with the benchmark dose (BMD) approach rather than by the less precise no‐observed‐adverse‐effect‐level (NOAEL) approach. However, the basis for designing animal experiments, using equally sized dose groups, is still primed for the NOAEL approach. The major objective here was to assess the impact of using dose groups of unequal size on both the quality of the BMD and overall animal distress. We examined study designs with a total number of 200 animals distributed in four dose groups employing quantal data generated by Monte Carlo simulations. Placing more animals at doses close to the targeted BMD provided an estimate of BMD that was slightly better than the standard design with equally sized dose groups. In situations involving a clear dose‐response, this translates into fewer animals receiving high doses and thus less overall animal distress. Accordingly, in connection with risk and safety assessment, animal distress can potentially be reduced by distributing the animals appropriately between dose groups without decreasing the quality of the information obtained.

Suggested Citation

  • Fereshteh Kalantari & Joakim Ringblom & Salomon Sand & Mattias Öberg, 2017. "Influence of Distribution of Animals between Dose Groups on Estimated Benchmark Dose and Animal Distress for Quantal Responses," Risk Analysis, John Wiley & Sons, vol. 37(9), pages 1716-1728, September.
    • Handle: RePEc:wly:riskan:v:37:y:2017:i:9:p:1716-1728
    DOI: 10.1111/risa.12741
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    References listed on IDEAS

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    1. Kristi Kuljus & Dietrich Von Rosen & Salomon Sand & Katarina Victorin, 2006. "Comparing Experimental Designs for Benchmark Dose Calculations for Continuous Endpoints," Risk Analysis, John Wiley & Sons, vol. 26(4), pages 1031-1043, August.
    2. Christel Faes & Marc Aerts & Helena Geys & Geert Molenberghs, 2007. "Model Averaging Using Fractional Polynomials to Estimate a Safe Level of Exposure," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 111-123, February.
    3. Carole A. Kimmel & David W. Gaylor, 1988. "Issues in Qualitative and Quantitative Risk Analysis for Developmental Toxicology," Risk Analysis, John Wiley & Sons, vol. 8(1), pages 15-20, March.
    4. Matthew W. Wheeler & A. John Bailer, 2007. "Properties of Model‐Averaged BMDLs: A Study of Model Averaging in Dichotomous Response Risk Estimation," Risk Analysis, John Wiley & Sons, vol. 27(3), pages 659-670, June.
    5. Robert J. Kavlock & Judith E. Schmid & R. Woodrow Setzer, 1996. "A Simulation Study of the Influence of Study Design on the Estimation of Benchmark Doses for Developmental Toxicity," Risk Analysis, John Wiley & Sons, vol. 16(3), pages 399-410, June.
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    Cited by:

    1. Signe M. Jensen & Felix M. Kluxen & Christian Ritz, 2019. "A Review of Recent Advances in Benchmark Dose Methodology," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2295-2315, October.
    2. Joakim Ringblom & Fereshteh Kalantari & Gunnar Johanson & Mattias Öberg, 2018. "Influence of Distribution of Animals between Dose Groups on Estimated Benchmark Dose and Animal Welfare for Continuous Effects," Risk Analysis, John Wiley & Sons, vol. 38(6), pages 1143-1153, June.

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