Abstract
Phase 4 trials are conducted for a variety of reasons. These include investigating a marketed drug in pediatric patients, comparing a drug head-to-head with another drug, investigating the effect of a drug at a lower/higher dose or with different administration schedules, studying a drug in combination with other drugs, or testing a drug for other indications. In this chapter, we cover the design of Phase 4 trials from the perspective of obtaining a prior distribution for the treatment effect from past trials. We first focus on comparing different drugs in a network meta-analysis and proceed to consider a trial comparing a drug against a comparator using information obtained from the network meta-analysis. We also discuss how prior distributions for treatment effects may be obtained by other means such as PK/PD modeling.
Generalization is the essence of knowledge.
Swami Vivekananda
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bafeta, A., Trinquart, T., Seror, R., & Ravaud, P. (2014). Reporting of results from network meta-analyses: Methodological systematic review. British Medical Journal, 348, g1741.
Cannon, C. P., Braunwald, E., McCabe, C. H., et al. (2004, April 8). Intensive versus moderate lipid lowering with statins after acute coronary syndromes. New England Journal of Medicine, 350(15), 1495–1504.
Carroll, K., & Hemmings, R. (2016). On the need for increased rigour and care in the conduct and interpretation of network meta-analyses in drug development. Pharmaceutical Statistics, 15(2), 135–142.
EMA Reflection paper on extrapolation of efficacy and safety in paediatric medicine development. (2016). Retrieved June 22, 2016 from http://www.ema.europa.eu/docs/en_GB/document_library/Regulatory_and_procedural_guideline/2016/04/WC500204187.pdf
Gruenig, E., Michelakis, E., Vachiéry, J.-L., et al. (2009). Acute hemodynamic effects of single-dose sildenafil when added to established bosentan therapy in patients with pulmonary arterial hypertension: Results of the COMPASS-1 study. Journal of Clinical Pharmacology, 49(11), 1343–1352.
Gu, S., Shi, J., Tang, Z., et al. (2015). Comparison of glucose lowering effect of metformin and acarbose in type 2 diabetes mellitus: A meta-analysis. PloS One, 10(5), e0126704. doi:10.1371/journal.pone.0126704.
Higgins, J. P. T., Jackson, D., Barrett, J. K., et al. (2012). Consistency and inconsistency in network meta-analysis: Concepts and models for multi-arm studies. Research Synthesis Methods, 3(2), 98–110.
Katsube, T., Yamano, Y., & Yano, Y. (2008). Pharmacokinetic-Pharmacodynamic modelling and simulation for in vivo bactericidal effect in murine infection model. Journal of Pharmaceutical Sciences, 97(4), 1606–1614.
Kenward, M. G., & Roger, J. H. (2009). An improved approximation to the precision of fixed effects from restricted maximum likelihood. Computational Statistics and Data Analysis, 53(7), 2583–2595.
Leil, T. A., Frost, C., Wang, X., & LaGreta, F. (2014). Model-based exposure-response analysis of apixaban to quantify bleeding risk in special populations of subjects undergoing orthopaedic surgery. CPT: Pharmacometrics & Systems Pharmacology, 3, e136. doi:10.1038/psp.2014.34.
Lu, G., & Ades, A. E. (2004). Combination of direct and indirect evidence in mixed treatment comparisons. Statistics in Medicine, 23(20), 3105–3124.
Lumley, T. (2002). Network meta-analysis for indirect treatment comparisons. Statistics in Medicine, 21(16), 2313–2324.
Mouksassi, M. S., Marier, J. F., Cyran, J., & Vinks, A. A. (2009). Clinical trial simulations in pediatric populations using realistic covariates: Application to teduglutide, a glucagon-like peptide-2 analog in neonates and infants with short-bowel syndrome. Clinical Pharmacology & Therapeutics, 86(6), 667–671.
National Cholesterol Education Program. (1994). Second report of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel II). Circulation, 89(3), 1333–1445.
National Cholesterol Education Program (NCEP). (2001). Executive summary of third report of the expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). Journal of the American Medical Association, 285(19), 2486–2497.
Piepho, H. P. (2014). Network-meta analysis made easy: Detection of inconsistency using factorial analysis-of-variance models. BMC Medical Research Methodology, 14, 61. Retrieved from http://www.biomedcentral.com/1471-2288/14/61
Piepho, H. P., Williams, E. R., & Madden, L. V. (2012). The use of two-way mixed models in multitreatment meta-analysis. Biometrics, 68(4), 1269–1277.
SAS/SAT® Software. Cary, NC: SAS Institute.
Senn, S., Gavini, F., Magrez, D., & Scheen, A. (2013). Issues in performing network meta-analysis. Statistical Methods in Medical Research, 22(2), 169–189.
Stone, N. J., Robinson, J. G., Lichtenstein, A. H., et al. (2014). 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: A report of the American college of cardiology/American heart association task force on practice guidelines. Journal of the American College of Cardiology, 63(25_PA), 2889–2934.
U.S. FDA Draft Guidance for Industry: General Clinical Pharmacology Considerations for Pediatric Studies for Drugs and Biological Products. (2014). Retrieved June 22, 2016, from http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm425885.pdf
Welton, N. J., Soares, M. O., Palmer, S., et al. (2015). Accounting for heterogeneity in relative treatment effects for use in cost-effectiveness models and value-of-information analyses. Medical Decision Making, 35(5), 608–621.
White, I. R., Barrett, J. K., Jackson, D., & Higgins, J. P. T. (2012). Consistency and inconsistency in network meta-analysis: Model estimation using multivariate meta-regression. Research Synthesis Methods, 3(2), 111–125.
WinBUGS. Retrieved from http://www.mrc-bsu.cam.ac.uk/software/bugs/
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Chuang-Stein, C., Kirby, S. (2017). Designing Phase 4 Trials. In: Quantitative Decisions in Drug Development. Springer Series in Pharmaceutical Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-46076-5_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-46076-5_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46075-8
Online ISBN: 978-3-319-46076-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)