title: A decision algorithm for translating preclinical trial results to enhance recovery after stroke.
abstract: A decision algorithm was required to evaluate the first half of a cooperative agreement for preclinical trials to optimize medical device parameters to enhance stroke recovery. Continued funding was contingent upon the midpoint evaluation, called the milestone decision. We developed an algorithm, which summarized our rodent and primate model results. Primary outcomes weighed more heavily than secondary outcomes, and the primate model more heavily than rodent models. By controlling the type I error for this milestone decision, the probability of correctly discontinuing the study if treatment was not beneficial was high (>0.84). Similar algorithms may be adapted for other milestone-driven projects.
authors.affiliation: Department of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas 66160, USA. jmahnken@kumc.edu
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Mahnken
authors.forename: Matthew S
authors.initials: MS
authors.lastname: Mayo
authors.forename: Randolph J
authors.initials: RJ
authors.lastname: Nudo
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D003658:Decision Making, Computer-Assisted; D004353:Drug Evaluation, Preclinical / Q000706:statistics & numerical data*; D004599:Electric Stimulation Therapy; D006801:Humans; D015233:Models, Statistical; D011323:Primates; D011336:Probability; D012377:Rodentia; D020521:Stroke / Q000628:therapy*; D000071939:Stroke Rehabilitation; D016896:Treatment Outcome