gms | German Medical Science

GMDS 2015: 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

06.09. - 09.09.2015, Krefeld

Principle considerations regarding the use of adaptive designs for trials in rare diseases and small populations

Meeting Abstract

  • Eva Budde - Medizinische Hochschule Hannover, Hannover, Deutschland
  • Loukia Spineli - Medizinische Hochschule Hannover, Hannover, Deutschland
  • Anika Großhennig - Medizinische Hochschule Hannover, Hannover, Deutschland
  • Armin Koch - Medizinische Hochschule Hannover, Hannover, Deutschland

GMDS 2015. 60. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Krefeld, 06.-09.09.2015. Düsseldorf: German Medical Science GMS Publishing House; 2015. DocAbstr. 069

doi: 10.3205/15gmds119, urn:nbn:de:0183-15gmds1198

Published: August 27, 2015

© 2015 Budde 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

Adaptive designs are well known and often recommended for use in clinical trials to better cope with uncertainties at the planning stage. Particularly in the field of rare diseases, adaptive designs are often proposed as an alternative to the classical randomized parallel group design eventually including an interim analysis [1], [2]. The authors claim that adaptive designs are suitable in the context of small populations because they will in general reduce sample size, but only little is said about the details or the price to be paid when using adaptive designs.

As already stated in the draft FDA Guidance for adaptive design clinical trials for drugs and biologics it should be noted that adaption of sample size“[…] should be used only for increases in the sample size, not for decreases” [3]. In addition the time point of interim analysis should be carefully chosen as the estimates after only a few patients can be misleading largely or small.

On this poster we will focus on the usefulness of adaptive two stage designs in the context of rare diseases and do eventually compare to group sequential designs. Considering the standard Bauer & Köhne two-stage design [4] we discuss implications of design modifications on trial size and interpretation.


References

1.
Cornu C, et al. Experimental Designs for Small Randomised Clinical Trials: An Algorithm for Choice. Orphanet Journal of Rare Diseases. 2013 January;8(Icd):48. DOI: 10.1186/1750-1172-8-48 External link
2.
Abrahamyan L, et al. A New Toolkit for Conducting Clinical Trials in Rare Disorders. Journal of Population Therapeutics and Clinical Pharmacology = Journal de La Thérapeutique Des Populations et de La Pharamcologie Clinique. 2014 Jan;21(1):e66–78.
3.
Food and Drug Administration. Guidance for Industry: Adaptive Design Clinical Trials for Drugs and Biologics. Draft Version (Feb. 2010). http://www.fda.gov/downloads/Drugs/Guidances/ucm201790.pdf External link
4.
Bauer P, Köhne K. Evaluation of Experiments with Adaptive Interim Analyses. Biometrics. 1994 Dec;50(4):1029-104.