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Advances in Small Trials dEsign for
Regulatory Innovation and eXcellence
Egbert	
  Biesheuvel
Nutricia	
  Research,	
  Utrecht
On	
  behalf	
  of	
  	
  Kit	
  Roes,	
  Armin	
  Koch,	
  Martin	
  Posch,	
  Ferran Torres,
Hanneke vd Lee,	
  Cor	
  Oosterwijk,	
  Caroline	
  van	
  Baal	
  and	
  
all	
  the	
  researchers	
  of	
  the	
  Asterix consortium
Outline
• Perspectives,	
  Patients and Evidence
• Concept	
  and	
  objectives	
  of	
  asterix
• Examples	
  of	
  progress	
  in	
  design	
  and	
  analysis
Perspectives, Patients and Evidence
Dependingon	
  definitions:	
  +/-­‐ 8000	
  rare	
  diseases
>	
  1000	
  new	
  therapies
designated as	
  orphan
90	
  orphan medicine
authorised (7	
  in	
  2013,	
  14	
  in	
  2014)
Authorised does	
  not automatically lead	
  to	
  available for patients
Perspective	
  of	
  market	
  authorisation of	
  a	
  new	
  drug
Evidence	
  based	
  decision of	
  allowing	
  physicians	
  to	
  add	
  a	
  new	
  drug
to	
  their	
  treatment	
  options
EMA	
  Orphan medicines
figures 2000-­‐2014
Perspectives, Patients and Evidence
In  the  
meantime I  
passed away
Perspectives, Patients and Evidence
The	
  European	
  legislation	
  on	
  orphan	
  medicinal	
  products	
  [Regulation	
  (EC)	
  No	
  141/2000]	
  
emphasises that	
  patients	
  suffering	
  from	
  rare	
  conditions	
  should	
  be	
  
“entitled	
  to	
  the	
  same	
  quality	
  of	
  treatment	
  as	
  other patients.”
Currentrationale	
  is	
  to present	
  evidence at	
  the	
  sameconfidencelevels
Small	
  populations guidancedoes	
  stimulate alternatives for design	
  and	
  
analyses
Carefulcase-­‐by-­‐case	
  decisions are	
  made,	
  that essentially may“relax”	
  
level	
  of	
  evidence
Concept and objectives of asterix
• Unmet	
  need	
  for	
  drugs	
  to	
  treat	
  rare	
  diseases
• Difficulty	
  to	
  establish	
  efficient	
  and	
  reliable	
  evidence	
  from	
  
clinical	
  trials	
  in	
  small	
  populations
• Absence	
  of	
  methods	
  to	
  include	
  patients	
  and	
  patient	
  
perspectives to	
  generate	
  results	
  that	
  matter	
  to	
  patients
• Uncertainty	
  in	
  regulatory	
  decision	
  making	
  on	
  new	
  
treatments
Patient
Think
Tank
Patient Think Tank
• Systematic involvement of	
  patients and their perspectives
• PTT	
  comprises of	
  12	
  members	
  
Provide input	
  in	
  the	
  development of	
  methods to
• optimize use of	
  info	
  in	
  patient registries to decide on	
  trial	
  design
• include	
  patients	
  preferences	
  in	
  the	
  weighting	
  of	
  outcomes
• includepatient opinionson	
  novel trial	
  designs
1st F-­‐2-­‐F	
  meeting	
  in	
  October	
  2014	
  A’dam on	
  adaptive	
  designs	
  and
weighing	
  of	
  outcomes
2nd F-­‐2-­‐F	
  meeting	
  in	
  October	
  2015	
  Barcelona	
  on	
  Framework	
  
Example: Framework for guidance
• Guidance on	
  design	
  at	
  disease level	
  no	
  longer practical	
  
(over	
  8000	
  rare	
  diseases)
• One general document	
  (at	
  present)	
  may not provide
sufficient guidance
• Framework	
  with intermediate approach,	
  driven by key
characteristics of	
  disease and	
  treatment
Caridad Pontes,	
  Ferran Torres,	
  Josep Torrent et	
  al.
Proposed framework
Clinical
course
Acute
Chronic
Single	
  acute episode
Repeated acute
episodes
Slow/	
  Non	
  
progressive
Progressive led	
  by
one system/organ
Progressive
multidimensional	
  
multiorgan
Staged disease
Life threatening
Fulminating
Time	
  to	
  event
If SOC,	
  back to	
  normal
Repeated events
Predictable course
Clear-­‐cut episodes
Numer of	
  events,	
  time
Single	
  organ driven
Life-­‐long disease
Predictable course,	
  surrogates
SOC	
  generally available
Adults,	
  disabling
Multidimensional	
  single	
  organ
Patient reported outcomes,	
  QoL
Surrogates requiring validation
Children,	
  life lasting,	
  registries
Multidimensional	
  multiorgan
Patient/caregiver otucomes
Poor SOC
Poor prognosis
Subgroups required
Time	
  to	
  end-­‐points
Surrogates validated
Rareor	
  veryrare
Frequency
Ultrarare(<1/105)
Example: Multiple endpoints
• New	
  Fall back procedures
– Allow inference on	
  subsets of	
  endpoints
– Control	
  the	
  Family	
  Wise Error	
  Rate (Type	
  I	
  error)
– Can be designed to	
  be more	
  powerful,
taking joint	
  distribution (correlations)	
  into account
• Simulation studies	
  show	
  benefit,
also for small	
  sample	
  sizes
• Traditional	
  level	
  of	
  evidence
limits power	
  
Robin	
  Ristl,	
  Martin	
  Posch
Example: Series of trials
• In	
  drug	
  developmentfor rare	
  diseases,	
  synthesisthrough
meta-­‐analysis	
  might improve robustnessof	
  (regulatory)	
  
assesment
• Sequential meta-­‐analysis	
  can improve efficiency	
  of	
  drug	
  
development plans
• Facilitating adaptive licensing
Armin	
  Koch,	
  Kristina Weber,	
  Ingeborg	
  van	
  der	
  Tweel,	
  Konstantinos	
  Pateras
Adaptive licensing
Eichler	
  et	
  al.,	
  Clin Pharm &	
  Therapeutics 2012;	
  91:	
  42-­‐37
Example: Series of trials
Initial idea:
• Bayesian	
  methods	
  for	
  extrapolation	
  in	
  rare	
  disease	
  
• Reduce	
  the	
  burden	
  for	
  formal	
  proof	
  of	
  efficacy
Impact	
  on	
  decision	
  making	
  needs	
  to	
  be	
  fully	
  understood
• Frequentist	
  and	
  Bayesian	
  strategies	
  are	
  compared	
  from	
  a	
  
decision	
  making	
  perspective
• In	
  case	
  of	
  2	
  (completed)	
  trials:	
  (1)	
  full	
  meta-­‐analysis,	
  (2)	
  one	
  
trial	
  as	
  prior	
  for	
  the	
  other,	
  (3)	
  down-­‐weighing	
  the	
  first	
  trial
Concluding
• Innovationsin	
  design	
  possible
– but	
  more	
  complicatedto	
  comprehend
• Serious reconsideration of	
  level	
  of	
  evidence needed,	
  in	
  
concert	
  with new	
  models of	
  decision making
• Framework	
  will help	
  to	
  provide guidance in	
  the
heterogenousworld of	
  rare	
  diseases
• Patient involvementis	
  essential
• We	
  have	
  just started…..

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Egbert Biesheuvel - Cambridge Rare Disease Summit 2015

  • 1. Advances in Small Trials dEsign for Regulatory Innovation and eXcellence Egbert  Biesheuvel Nutricia  Research,  Utrecht On  behalf  of    Kit  Roes,  Armin  Koch,  Martin  Posch,  Ferran Torres, Hanneke vd Lee,  Cor  Oosterwijk,  Caroline  van  Baal  and   all  the  researchers  of  the  Asterix consortium
  • 2. Outline • Perspectives,  Patients and Evidence • Concept  and  objectives  of  asterix • Examples  of  progress  in  design  and  analysis
  • 3. Perspectives, Patients and Evidence Dependingon  definitions:  +/-­‐ 8000  rare  diseases >  1000  new  therapies designated as  orphan 90  orphan medicine authorised (7  in  2013,  14  in  2014) Authorised does  not automatically lead  to  available for patients Perspective  of  market  authorisation of  a  new  drug Evidence  based  decision of  allowing  physicians  to  add  a  new  drug to  their  treatment  options EMA  Orphan medicines figures 2000-­‐2014
  • 4. Perspectives, Patients and Evidence In  the   meantime I   passed away
  • 5. Perspectives, Patients and Evidence The  European  legislation  on  orphan  medicinal  products  [Regulation  (EC)  No  141/2000]   emphasises that  patients  suffering  from  rare  conditions  should  be   “entitled  to  the  same  quality  of  treatment  as  other patients.” Currentrationale  is  to present  evidence at  the  sameconfidencelevels Small  populations guidancedoes  stimulate alternatives for design  and   analyses Carefulcase-­‐by-­‐case  decisions are  made,  that essentially may“relax”   level  of  evidence
  • 6. Concept and objectives of asterix • Unmet  need  for  drugs  to  treat  rare  diseases • Difficulty  to  establish  efficient  and  reliable  evidence  from   clinical  trials  in  small  populations • Absence  of  methods  to  include  patients  and  patient   perspectives to  generate  results  that  matter  to  patients • Uncertainty  in  regulatory  decision  making  on  new   treatments
  • 8. Patient Think Tank • Systematic involvement of  patients and their perspectives • PTT  comprises of  12  members   Provide input  in  the  development of  methods to • optimize use of  info  in  patient registries to decide on  trial  design • include  patients  preferences  in  the  weighting  of  outcomes • includepatient opinionson  novel trial  designs 1st F-­‐2-­‐F  meeting  in  October  2014  A’dam on  adaptive  designs  and weighing  of  outcomes 2nd F-­‐2-­‐F  meeting  in  October  2015  Barcelona  on  Framework  
  • 9. Example: Framework for guidance • Guidance on  design  at  disease level  no  longer practical   (over  8000  rare  diseases) • One general document  (at  present)  may not provide sufficient guidance • Framework  with intermediate approach,  driven by key characteristics of  disease and  treatment Caridad Pontes,  Ferran Torres,  Josep Torrent et  al.
  • 10. Proposed framework Clinical course Acute Chronic Single  acute episode Repeated acute episodes Slow/  Non   progressive Progressive led  by one system/organ Progressive multidimensional   multiorgan Staged disease Life threatening Fulminating Time  to  event If SOC,  back to  normal Repeated events Predictable course Clear-­‐cut episodes Numer of  events,  time Single  organ driven Life-­‐long disease Predictable course,  surrogates SOC  generally available Adults,  disabling Multidimensional  single  organ Patient reported outcomes,  QoL Surrogates requiring validation Children,  life lasting,  registries Multidimensional  multiorgan Patient/caregiver otucomes Poor SOC Poor prognosis Subgroups required Time  to  end-­‐points Surrogates validated Rareor  veryrare Frequency Ultrarare(<1/105)
  • 11. Example: Multiple endpoints • New  Fall back procedures – Allow inference on  subsets of  endpoints – Control  the  Family  Wise Error  Rate (Type  I  error) – Can be designed to  be more  powerful, taking joint  distribution (correlations)  into account • Simulation studies  show  benefit, also for small  sample  sizes • Traditional  level  of  evidence limits power   Robin  Ristl,  Martin  Posch
  • 12. Example: Series of trials • In  drug  developmentfor rare  diseases,  synthesisthrough meta-­‐analysis  might improve robustnessof  (regulatory)   assesment • Sequential meta-­‐analysis  can improve efficiency  of  drug   development plans • Facilitating adaptive licensing Armin  Koch,  Kristina Weber,  Ingeborg  van  der  Tweel,  Konstantinos  Pateras
  • 13. Adaptive licensing Eichler  et  al.,  Clin Pharm &  Therapeutics 2012;  91:  42-­‐37
  • 14. Example: Series of trials Initial idea: • Bayesian  methods  for  extrapolation  in  rare  disease   • Reduce  the  burden  for  formal  proof  of  efficacy Impact  on  decision  making  needs  to  be  fully  understood • Frequentist  and  Bayesian  strategies  are  compared  from  a   decision  making  perspective • In  case  of  2  (completed)  trials:  (1)  full  meta-­‐analysis,  (2)  one   trial  as  prior  for  the  other,  (3)  down-­‐weighing  the  first  trial
  • 15. Concluding • Innovationsin  design  possible – but  more  complicatedto  comprehend • Serious reconsideration of  level  of  evidence needed,  in   concert  with new  models of  decision making • Framework  will help  to  provide guidance in  the heterogenousworld of  rare  diseases • Patient involvementis  essential • We  have  just started…..