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Simulation clinical trials

Bonate PL. Clinical trial simulation in drug development. Pharm Res 2000 17 252-6. [Pg.525]

Jumbe, N., B. Yao, R. Rovetti, G. Rossi, and A.C. Heatherington. 2002. Clinical trial simulation of a 200-microg fixed dose of darbepoetin-a in chemotherapy-induced anemia. Oncology (WiUiston. Park) 16 37-44. [Pg.324]

Clinical trial simulation or computer-assisted trial design or biosimulation is not a revolutionary technique. Computer simulation has been used in the automotive... [Pg.7]

Some factors or covariates may cause deviations from the population typical value generated from system models so that each individual patient may have different PK/PD/disease progression profiles. The relevant covariate effects on drug/disease model parameters are identified in the model development process. Clinical trial simulations should make use of input/output models incorporating... [Pg.10]

Fig. 1.8 Clinical trial simulation of the response (%) in blinded data after enrolment of 50% of the patients. Fig. 1.8 Clinical trial simulation of the response (%) in blinded data after enrolment of 50% of the patients.
Fig. 1.9 Clinical trial simulation of the dose-response of the response (% responders) in Phase III trials compared with the actual observed outcome in the three trials. Solid line median. Dotted lines 5th, 25th, 75th, and 95th percentiles. Each arm of a study enrolled about 200 patients. Fig. 1.9 Clinical trial simulation of the dose-response of the response (% responders) in Phase III trials compared with the actual observed outcome in the three trials. Solid line median. Dotted lines 5th, 25th, 75th, and 95th percentiles. Each arm of a study enrolled about 200 patients.
Once the Phase III clinical trials were started, a blinded data survey was done when 50% of the patients were enrolled. This is not an uncommon practice. Blinded data can be used to assess the appropriateness of assumptions that were made when designing the trials, such as the overall response or variability, among others. However, to judge the observed data it is necessary to have an idea of what reasonably can be expected. Due to the multitude of factors involved, clinical trial simulations can help here. The observed blinded response rate was lower than the antipicitated value, but was well within what could be expected from the simulation results (Fig. 1.8). Finally, when the true outcome of the Phase III trial was compared with the predictions from the clinical trial simulations, an overall good agreement was observed (Fig. 1.9). [Pg.26]

Lockwood, P., Ewy, W., Hermann, D., Hol-ford, N. Application of clinical trial simulation to compare proof-of-concept study designs for drugs with a slow onset of effect an example in Alzheimer s disease. Pharm Res 2006, 23 2050-2059. [Pg.27]

Nestorov, I. A. Sensitivity analysis of pharmacokinetic and pharmacodynamic models in clinical trial simulation and design. In Kimko, H. C., Duffull, S. B eds. Simulation for designing clinical trials. A pharmacokinetic-pharmacodynamic modeling perspective. (Drugs and the pharmaceutical sciences, volume 127) Marcel Dekker, New York, 2003. [Pg.28]

Girard, P. Clinical trial simulation a tool for understanding study failures and preventing them. Basic Clin Pharmacol Toxicol 2005, 96 228-234. [Pg.29]

Current Clinical Trial Simulation in Drug Development... [Pg.435]

Dickinson, G.L. et al. Clinical trial simulation of the effect of CYP2D6 polymorphism on the antitussive response to dextromethorphan./ Pharm Sci 2007, 47 175-186. [Pg.445]

During the trial phase, the simulation model can be used as a vehicle to define an effective test protocol. As stressed in the American Food and Drug Administration Critical Path Opportunities List, clinical trial simulation can predict efficient designs for development programs that reduce the number of trials and patients, improve decisions on dosing, and increase informativeness [18]. [Pg.494]

Drug X when administered with food resulted in an approximately 25 % reduction in exposure. The approach used involves the development of a population PK/PD model and use of clinical trial simulations to predict an outcome of a virtual trial. [Pg.742]

Sale M. Clinical trial simulation. In Pharmacokinetics in Drug Development. Volume 1 Clinical Study Design and Analysis. Bonate PL, Howard DR, eds. 2004. AAPS Press, Arlington, VA. pp. 531-550. [Pg.2073]

In another example, Lockwood et al. used clinical trial simulation to evaluate the distribution of outcome from two Phase 2 trials with pregabalin, a GABA-agonist for the treatment of neuropathic pain, and used the simulation results to select the appropriate dose for Phase 3 trialsJ Work by Drusano et al. also described how population PK modeling of three different doses of GW 420867X, a new non-nucleoside reverse transcriptase inhibitor, and Monte Carlo simulation based on the results of the population PK modeling helped choose a rational dose for further clinical trials. ... [Pg.2811]

Hughes, D.A. Walley, T. Economic evaluations during early (phase II) drug development a role for clinical trial simulations Pharmacogenomics 2001, 19 (11), 1069-... [Pg.2815]

The use of clinical trial simulation to support dose selection ... [Pg.2815]

Chabaud, S. Girard, P. Nony, P. Boissel, J.P. Clinical trial simulation using therapeutic effect modeling application to ivabradine efficacy in patients with angina pectoris. J. Pharmacokinet. Pharmacodyn. 2002, 29 (4), 339-363. Minto, C.F. Schnider, T.W. Shafer, S.L. Pharmacokinetic and pharmacodynamics of remifentail. II. Model application. Anesthesiology 1997, 86 (1), 24-33. [Pg.2815]

Pharsight Corp. Clinical trial simulations www.pharsight.com... [Pg.3]

El-Tahtawy AA, Tozer TN, Harrison F, et al. Evaluation of bioequivalence of highly variable drags using clinical trial simulations. II Comparison of single and multiple-dose trials using AUC and C. Pharm Res 1998 15 98-104. [Pg.38]


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See also in sourсe #XX -- [ Pg.4 , Pg.6 , Pg.18 , Pg.20 , Pg.22 , Pg.426 , Pg.434 , Pg.443 , Pg.481 , Pg.493 ]




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