gms | German Medical Science

64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

08. - 11.09.2019, Dortmund

Gaining power by using adaptive designs in preclinical multi-group studies

Meeting Abstract

  • Konrad Neumann - Institute of Biometry and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Germany, Berlin, Germany
  • Samuel Knauss - Department of Experimental Neurology, Charité Universitätsmedizin Berlin, Germany, Berlin, Germany
  • Janine Wiebach - Institute of Biometry and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Germany, Berlin, Germany
  • Ulrike Grittner - Institute of Biometry and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Germany, Berlin, Germany

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Dortmund, 08.-11.09.2019. Düsseldorf: German Medical Science GMS Publishing House; 2019. DocAbstr. 250

doi: 10.3205/19gmds086, urn:nbn:de:0183-19gmds0861

Published: September 6, 2019

© 2019 Neumann et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Preclinical research is widely criticized for its wastage of test animals. In Germany alone 1,368,447 mice and 255,449 rats were sacrificed for animal experiments in 2017 [1]. The recently established Charité 3R center tries to address growing concerns in society about this practice. “3R” is an animal protection principle and stands for “Replace”, “Reduce” and “Refine”. Adaptive study designs could contribute to the efforts to reduce the number of animals used in preclinical trials.

The need for a great deal of test animals is particularly high in multi-group studies, e.g. dose finding studies with many treatment arms (dose levels).

In the talk, we will propose an adaptive two-stage design that has a greater statistical power than the single stage designs usually used in preclinical research. The gain of power could be used to save animals needed for the experiment.

Following ideas from [2] the study design allows dropping groups after the first stage (at least one) and stopping for futility.

Preclinical trials often lack power. That could be one reason why translation of promising preclinical findings into clinical application often fails (c.f. [3] for a discussion of this issue in neurological stroke research). Designs that are more powerful could be an answer to many needs. However, they are scarcely used in practice since they require additional efforts and the need for statistical consulting in the planning phase. In the talk, we discuss how to improve the user friendliness of such designs such that they can find their way into application eventually.

Finally, we give an example of an application of the method to a real world neuroprotection study in the middle cerebral artery occlusion (MCAO) model of ischemic stroke.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Bundesministerium für Ernährung und Landwirtschaft. Verwendung von Versuchstieren im Jahr 2017. [Accessed 15 July 2019]. Available from: https://www.bmel.de/DE/Tier/Tierschutz/_texte/Versuchstierzahlen2017.html External link
2.
Bauer P, Röhmel J. An adaptive method for establishing a dose-response relationship. Statistics in Medicine. 1995 Jul 30;14(14):1595-607.
3.
O'Collins VE, Macleod MR, Donnan GA, Horky LL, van der Worp BH, Howells DW. 1,026 experimental treatments in acute stroke. Annals of neurology. 2006 Mar;59(3):467-77.