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Market Research Report
Innovative Clinical Trial Design and Management: Trends, success stories and impact upon R&D budgets
Published by
Business Insights
Published
2008/05
Content info
170 pages
Product code
RB67002
Price
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Table of Contents
Executive Summary
Introduction
Adaptive clinical trials
Adaptive dose-finding studies
Seamless adaptive trials
Adaptive trials in drug-diagnostic co-development
Simulation, logistics and technology in adaptive trials
Regulating adaptive trials
Outlook for adaptive trials in the pharma industry
Chapter 1 Introduction
Summary
State of the industry
Rising development costs
Longer development times
Increasing complexity
Higher attrition
Increasing innovation
Innovation in drug discovery and development
Adaptive clinical trials - an introduction
Report outline
Chapter 2 Adaptive clinical trials
Summary
Introduction
Adaptive designs
Flexibility in adaptive trials
Statistics for adaptive designs
Group Sequential Designs
Stopping early for benefit - controversy
Case study: RALES - a Searle Phase 3 Group Sequential Design
Case study: CAPTURE - a Centocor study in refractory unstable angina
Case study: Proof-of-concept study in neuropathic pain - GlaxoSmithKline
Case study: PURSUIT - a Millennium Pharmaceuticals study in unstable angina
Sample size re-estimation
Case study: a group sequential study for sample size re-estimation
Case study: GlaxoSmithKline pivotal study for Advair Diskus
Response adaptive randomization
Case study: Troxacitabine in acute myeloid leukemia
Case study: Eli Lilly out-patient study in depression
Case study: Three dosing schedules of decitabine in myelodysplastic syndrome
Case studies: A study of sorafenib in different types of cancer
Bayesian methods in First in Man studies
Conclusions
Chapter 3 Adaptive dose-finding studies
Summary
Introduction
Case study: ASTIN
Case study: Phase 2 Pfizer dose-ranging study in neuropathic pain
Case study: Phase 2 Merck dose-finding study of anti-migraine compound
Case study: Phase 3 Napo Pharmaceuticals study in HIV patients with diarrhea
The PhRMA Adaptive Dose-Ranging Studies Working Group
Conclusions
Chapter 4 Seamless adaptive trials
Summary
Introduction
Pros, cons and controversy
Speeding up clinical development
Efficiency gains in seamless trials
When are seamless designs appropriate?
Regulatory view of seamless Phase 2b/3 studies
Case study: Phase 1/2 trials in oncology
Case study: Phase 2b/3 Novartis study in a chronic disease indication
Case study: HORIZON III an AstraZeneca study in oncology
Conclusions
Chapter 5 Adaptive trials in drug-diagnostic co-development projects
Summary
Introduction
Biomarkers and classifiers
Co-development of drugs and companion diagnostics
Pivotal Phase 3 trial designs using predictive biomarkers
Enrichment designs
Patient stratification
Sample size calculation for enrichment and stratification designs
Adaptive signature designs
Biomarker adaptive threshold determination
Case study: identifying a classifier of response to Velcade
Conclusions
Chapter 6 Simulation, logistics and technology in adaptive trials
Summary
Introduction
Preplanning and simulation
Case study: A study design and simulation using Cytel' s East® simulation package
Logistical issues
Real-time data collection
Electronic data capture (EDC)
Electronic patient reported outcomes (ePRO)
Interactive voice recognition and interactive web response
Companies involved in real-time data collection
Maintaining data confidentiality
Minimizing operational bias and assuring consistency between study stages
Clinical supply management
Case study: simulating drug supply
Summary - logistical considerations for adaptive trials
Conclusions
Chapter 7 Regulating adaptive trials
Summary
Introduction
FDA guidance on adaptive designs
EMEA guidance on adaptive designs
PhRMA working groups
Conclusions
Chapter 8 Outlook for adaptive trials in the pharma industry
Summary
Introduction
Adaptive trials and success rates in clinical drug development
Costs in adaptive clinical trials
Time means money
Costs in a dose-finding clinical trial
Cost savings in a seamless Phase 2b/3 trial
Cost savings in a random adaptive allocation trial
Costs in a sample size re-estimation study
Costs of clinical trials in pharmacogenomics
Pharma' s uptake of adaptive designs
Outlook for adaptive trials
Chapter 9 Appendix
Primary research methodology
Index
Glossary
Glossary
List of Figures
Figure 1.1: New drug approvals versus R&D costs, 1995-2006
Figure 1.2: Trend towards longer drug development times, 1997 to 2005
Figure 1.3: Increasing complexity of clinical trial
Figure 1.4: Change in attrition rates, 1994 to 2000
Figure 1.5: Increasing innovation in drug development
Figure 1.6: Attrition rates and development times by drug novelty status
Figure 2.1: Summary of motivations for using adaptive trials
Figure 2.2: Examples of motivations for adapting clinical trials
Figure 2.3: Advantages and disadvantages of increasing the flexibility of adaptive trial designs
Figure 2.4: Bayes Theorem explained
Figure 2.5: How Bayesian statistics work
Figure 2.6: Data from interim monitoring visits during the RALES study
Figure 2.7: The random play-the-winner trial design
Figure 2.8: Response adaptive randomization - case study with troxacitabine
Figure 3.1: Advantages of adaptive dose-finding studies over traditional methods
Figure 3.2: Structure of the ASTIN study
Figure 3.3: Data from the ASTIN study
Figure 4.1: Structure of an adaptive seamless clinical trial
Figure 4.2: Key aims of each phase of drug development
Figure 4.3: Seamless trials in Phases 1, 2 and 3
Figure 4.4: When to use seamless adaptive Phase 2b/3 designs
Figure 4.5: Novartis' ongoing seamless adaptive Phase 2b/3 study design
Figure 5.1: Examples of targeted treatments and their companion diagnostics
Figure 5.2: Definitions of predictive and prognostic biomarkers
Figure 5.3: Co-development of a drug and companion diagnostic
Figure 5.4: Types of study design for use in drug-diagnostic co-development
Figure 5.5: The enrichment design
Figure 5.6: Including classifier positive and negative patients: stratification
Figure 5.7: Marker-based strategy for patient stratification
Figure 5.8: Adaptive signature designs
Figure 5.9: Discovery and testing of a predictive classifier for Velcade
Figure 6.1: Case study: stopping probabilities calculated using Cytel' s East software
Figure 6.2: Integrative electronic systems in adaptive trial designs
Figure 6.3: Working Group proposal for sponsor involvement in decision making
Figure 6.4: Working Group proposal for selection decisions
Figure 6.5: Choosing an adaptive design: infrastructure and process requirements
Figure 8.1: Attrition rates and costs in drug development
Figure 8.2: Adaptive trials may help to restore success rates
Figure 8.3: Adaptive trials may help to restore success rates
Figure 8.4: Cost savings in a hypothetical seamless Phase 2b/3 adaptive trial
List of Tables
Table 1.1: Advantages and disadvantages of using adaptive clinical trial designs
Table 1.2: How adaptive designs can fight attrition
Table 2.1: Group sequential study design may save time
Table 2.2: Consequences of incorrect planning- treatment difference and/or standard deviation
Table 2.3: Comparison of simple randomization and response-adaptive randomization
Table 2.4: Results of a response adaptive randomization study in depression
Table 3.1: Bayesian designs can investigate more doses
Table 4.1: Advantages and disadvantages of seamless adaptive designs
Table 5.1: Efficiency of enrichment study designs
Table 5.2: Comparison of number of patients needed for enrichment designs: gefitinib example
Table 5.3: Free software available for calculating sample sizes in pharmacogenomic studies
Table 6.1: Integrity and validity in adaptive clinical trials
Table 6.2: Companies offering statistical expertise for adaptive trials
Table 6.3: Providers of software, tools and services for adaptive trials
Table 6.4: Clinical trial supply simulation software providers
Table 8.1: Cost savings for various options in COPD trial
Table 8.2: Retrospective analysis identifies benefits of an adaptive design
Table 8.3: Effect of HER2 testing on the development of Herceptin
Table 8.4: Potential additional sales for a drug targeted to 25% of patients tested
Table 8.5: Phase distribution of case studies, PhRMA Adaptive Designs Working Group
Table 8.6: Indications in which Bayesian adaptive designs have been used
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