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Concluding Remarks and Recommendations

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Whenever possible use an approach that incorporates a model for the dose response. ... http://haggis.umbc.edu/cgi-bin/dinteractive/inna1.html. EWOC software (free) ... – PowerPoint PPT presentation

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Title: Concluding Remarks and Recommendations


1
Concluding Remarks and Recommendations
  • General recommendations
  • Consider adaptive dose response designs in
    exploratory development more often
  • Whenever possible use an approach that
    incorporates a model for the dose response.
  • Model assumptions can be either monotonic or
    umbrella shaped
  • That trial specific objectives would determine
    the choice of particular methodology
  • Consider several methodologies as AD candidates
    and pick the best-performing one
  • Define the dose assignment mechanism
    prospectively and fully evaluate its operational
    characteristics through simulation prior to
    initiating the study
  • Relative performance of various adaptive design
    methods is an area of ongoing research (PhRMA
    ADRS WG etc.)

2
Concluding Remarks and Recommendations (cont.)
  • Benefits of adaptive designs in exploratory
    development
  • Establishing POC exploring D-R can be
    accomplished in one trial
  • Often with less time/resources than 2 separate
    trials
  • Even if resources are the same, quality of
    information extracted about D-R may be better
    leading to increased probability of success
    (PoS) in subsequent trials
  • Benefits of adaptive designs in (Phase I)
    oncology
  • Balance between individual and collective ethics
  • maximum information from the minimal number of
    patients
  • Identify MTD more precisely
  • limit allocation to extreme doses (above MTD)

Improve chances of success of Phase II-III trials
3
Concluding Remarks and Recommendations (cont.)
  • Adaptive trial logistics
  • Needs to be workable
  • Response observable reasonably quickly relative
    to patient entry
  • Allow ample time for planning !!!
  • Simulations require substantial time commitment
    from statistician
  • Extensive discussion with clinical needed to
    frame the problem
  • Simulations often require custom programming
  • Limited readyto-use software options exist (none
    of them is perfect!)
  • Be aware of dynamic allocation issues
  • Drug Supply Labeling more complicated
  • Regulatory issues less important in early
    development, however should not be completely
    ignored

4
Adaptive Design Software Options
  • CytelSim (in development)
  • NOW available only as a Merck in-house tool
  • FUTURE (TBD) may become commercially available
  • Decimaker (fully supported product)
  • developed by ClinBay as R-based product
  • http//www.decimaker.com
  • D-optimal design software (free)
  • http//haggis.umbc.edu/cgi-bin/dinteractive/inna1
    .html
  • EWOC software (free)
  • http//sisyphus.emory.edu/software_ewoc.php
  • MD-Anderson Cancer Center software (free)
  • http//biostatistics.mdanderson.org/SoftwareDownlo
    ad
  • Variety of methods available, including
  • Phase I/II dose-finding based on efficacy and
    toxicity
  • CRM

5
The End!
  • Comments/Questions/Discussion?
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