Modeling and Simulation for Clinical Trial Design Involving a Categorical Response: A Phase II Case Study with Naratriptan
Abstract
Purpose The overall aim of the present study was to investigate retrospectively the feasibility and utility of model-based clinical trial simulation as applied to the clinical development of naratriptan with effect measured on a categorical scale.Methods A PK-PD model for naratriptan was developed by using information gathered from previous naratriptan and sumatriptan preclinical and clinical trials. The phase IIa naratriptan data were used to check the PK-PD model in its ability to describe future data. A further PK-PD model was developed by using the phase IIa naratriptan data, and a phase IIb trial was designed by simulation with the use of Matlab. The design resulting from clinical trial simulation was compared with that derived by using D-optimal design.Results The PK-PD model showed reasonable agreement with the data observed in the phase IIa naratriptan clinical trial. Clinical trial simulation resulted in a design with four or five arms at 0 mg, 2.5 and/or 5 mg, 10 mg, and 20 mg, PD measurements to be taken at 0, 2, and 4 or 6 h and at least 150 patients per arm. A sub-D-optimal design resulted in two dosing arms at 0 and 10 mg and PD measurements to be taken at 1 and 2 h.Conclusions Clinical trial simulation is a useful tool for the quantitative assessment of the influence of the controllable factors and is the only tool for the quantitative assessment of the uncontrollable factors on the power of a clinical trial.
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Adequacy of Sample Size in Health Studies
Ziegel, E. R., Lemeshow, S., Hosmer, D. W., Klar, J. M., & Luanga, S. (1994) · Technometrics · doi:10.2307/1270261 · Cited by 835 · see citing works
Adequacy of Sample Size in Health Studies
(1994) · Technometrics · doi:10.1080/00401706.1994.10485796 · Cited by 365 · see citing works
Qualitative and quantitative experiment design for phenomenological models—A survey
Walter, E., & Pronzato, L. (1990) · Automatica · doi:10.1016/0005-1098(90)90116-y · Cited by 318 · see citing works
Intention-to-treat analysis and the goals of clinical trials*
Sheiner, L. B., & Rubin, D. B. (1995) · Clinical Pharmacology & Therapeutics · doi:10.1016/0009-9236(95)90260-0 · Cited by 315 · see citing works
Holford, N. H. G., Kimko, H. C., Monteleone, J. P. R., & Peck, C. C. (2000) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.40.1.209 · Cited by 289 · see citing works
Lesko, L. J., Rowland, M., Peck, C. C., & Blaschke, T. F. (2000) · The Journal of Clinical Pharmacology · doi:10.1177/00912700022009530 · Cited by 152 · see citing works
Connor, H., Feniuk, W., Beattie, D. T., North, P., Oxford, A., Saynor, D. A., & Humphrey, P. P. A. (1997) · Cephalalgia · doi:10.1046/j.1468-2982.1997.1703145.x · Cited by 123 · see citing works
Optimal Designs for Binary Data
Minkin, S. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478545 · Cited by 121 · see citing works
Study designs for dose-ranging
Sheiner, L. B., Beal, S. L., & Sambol, N. C. (1989) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.1989.108 · Cited by 110 · see citing works
A new approach to the analysis of analgesic drug trials, illustrated with bromfenac data
Sheiner, L. B. (1994) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.1994.142 · Cited by 109 · see citing works
Dahlöf, C. G. H., Hogenhuis, L., Olesen, J., et al. (1998) · European Journal of Neurology · doi:10.1046/j.1468-1331.1998.550469.x · Cited by 53 · see citing works
Pharmacokinetics: Theory and Methodology
Rowland, M., & Tucker, G. T. (1986) · Medical Entomology and Zoology · Cited by 48 · see citing works
Modelling during drug development
Balant, L. (2000) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/s0939-6411(00)00083-7 · Cited by 41 · see citing works
Lesko, L. J., Rowland, M., Peck, C. C., & Blaschke, T. F. (2000) · European Journal of Pharmaceutical Sciences · doi:10.1016/s0928-0987(00)00092-0 · Cited by 37 · see citing works
Cosson, V. F., & Fuseau, E. (1999) · Journal of Pharmacokinetics and Biopharmaceutics · doi:10.1023/a:1020601906027 · Cited by 30 · see citing works
Self-citationOral Sumatriptan in Pharmacokinetics in the Migrainous State
Cutler, N. R., Hussey, E., Sramek, J. J., et al. (1991) · Cephalalgia · doi:10.1177/0333102491011s11120 · Cited by 20 · see citing works
Dose-ranging trials: Guidelines for data collection and standardized descriptions
Boissel, J. P., Durieu, I., Girard, P., et al. (1995) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00002-x · Cited by 19 · see citing works
Pharmacodynamic analysis of analgesic clinical trials using empirical methods.
Liu, C. Y., & Sambol, N. C. (1995) · Pharmaceutical Research · doi:10.1023/a:1016221006106 · Cited by 4 · see citing works
Meta-analysis of the exposure/efficacy relationship for sumatriptan nasal spray
Pétricoul, O., & Fuseau, E. (1999) · Clinical Pharmacology & Therapeutics · doi:10.1016/s0009-9236(99)80195-7 · Cited by 3 · see citing works
Self-citationAn Integrated Design for Dose Comparison Trials
Hsu, P. (1993) · The Journal of Clinical Pharmacology · doi:10.1002/j.1552-4604.1993.tb05621.x · Cited by 1 · see citing works
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Zhang, X., Trame, M., Lesko, L., & Schmidt, S. (2015) · CPT: Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.6 · Cited by 467 · see citing works
“, bioavailability and absorption rate, as in a traditional PK model, but comes from two sources: (i) the structural model itself and (ii) its parameters.(15) This is at least in part the result of regulatory feedback and feed forward mechanisms that are included in systems pharmacology models, which allows cells to ma…”
BackgroundTuntland, T., Ethell, B., Kosaka, T., Blasco, F., Zang, R. X., Jain, M., Gould, T., & Hoffmaster, K. (2014) · Frontiers in Pharmacology · doi:10.3389/fphar.2014.00174 · Cited by 239 · see citing works
- Authors
- Nestorov, I., Graham, G., Duffull, S., Aarons, L., Fuseau, E., & Coates, P.
- Affiliations
- University of Manchester (GB)
- The University of Queensland (AU)
- Corresponding author
- Graham, Gordon
- Venue
- Pharmaceutical Research
- Published
- 2001-08
- Volume
- 18
- Issue
- 8
- Pages
- 1210-1219
- ISSN
- 0724-8741 (ISSN-L)
- 1573-904X
- OpenAlex
- W321073894
- Cited by
- 41
- References
- 20
- Citations by year
- 2018: 1 · 2015: 1 · 2014: 2 · 2013: 1 · 2012: 3
- FWCI
- 3.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Pharmaceutical Research (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Keywords
- clinical trial simulation, pharmacokinetic-pharmacodynamic modeling, naratriptan, sumatriptan, categorical response, migraine, D-optimal design, trial power, dose selection
- MeSH terms
- Administration, Oral, Algorithms, Computer Simulation, Dose-Response Relationship, Drug, Drug Evaluation, Preclinical, Humans, Indoles, Injections, Subcutaneous, Models, Biological, Piperidines, Research Design, Software, Tryptamines, Clinical Trials, Phase II as Topic, Serotonin Receptor Agonists
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