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DRUG DEVELOPMENT
By sreeremya.s
Asst professor,sree narayana guru
college,cbe
CDP-CLINICAL DEVELOPMENT PLAN
• It bridges the gap between vision and the day
-to -day activities of large multidisciplinary
organizations.
• 􀂃The vision is transformed into distinct
implementation phases and discrete steps,
called clinical studies, each with well defined
milestones and deliverables.
• Fixed Trial Designs Paradigm, in particular for Phase III
• -Standard trial designs allow little learningduring the
conduct of the trial
• -“Established”adaptations are used in group-sequential
trialswhere stopping for superiority or futility can be
done according to pre-defined rules at interim
analyses
• -Clearly separated development phases(II and III)
• -If applied to all clinical projects one misses
opportunitiesfor better use of information and more
ethical drug development
• Proof of efficacy in phase III trials:
• -Show that observed treatment effect is ‘real’and not
just random via testing of statistical hypotheses
• -Regulatory practice and guidelines (eg. ICH E9) ask
that the false positive error rate is controlled for
pivotal trials (usually 2.5%)
• -Trial designs, analysis and decisions rules at interim
analysis are pre-defined
• -
• Emphasis on trial ‘integrity’(egregarding
confidentiality of interim results)
• 􀂃Error control:
• -Multiple hypothesis testing or changes of
design characteristicsat interim alters the
false positive error rateof a standard
statistical test
• Primary objective -to combine “treatment
selection”and “confirmation”in one trial––Enroll
patients into the trial–During the trial, select the
optimal dose (or population) basedon interim
data–Based on surrogate marker, early read-out
of endpoint, or primary endpoint–continues
only on the selected dose and the comparator
armAll datafrom chosen arm and comparator is
used in final analysis, usingnovel statistical
methods for combining evidence from 1stand
2ndstage to control false positive error rate and
maintaining trial integrity
• Motivation for adaptation
• Selectionof appropriate patient sub-groupand confirmation of benefit in
• one seamless phase II / IIItrial
• Design specifications: 2-stage seamless adaptive design
• Stage 1
• -sub-group selection (options: sub-group or all-patients)
• -futility decision at two time points
• -sub-group considered is defined upfront, based on evidence external to
the trial
• -Sample size could be adjusted at interim points
• Stage 2
• -achieve confirmation of treatment benefit while maintaining integrity of
trial (false positive rate and bias are controlled)
• Adaptive trial design were reviewed by FDA and
EMEA, and considered acceptable for the trial
• Careful consideration and detail was required for
the interim analysis and decision process
• –What data will be needed to decide to adapt?
• –Who will see this data, and make this decision?
• –Will the results of this decision bias the trial?
Drug development
Drug development
Drug development
Drug development
Drug development
Drug development
Drug development

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Drug development

  • 1. DRUG DEVELOPMENT By sreeremya.s Asst professor,sree narayana guru college,cbe
  • 2. CDP-CLINICAL DEVELOPMENT PLAN • It bridges the gap between vision and the day -to -day activities of large multidisciplinary organizations. • 􀂃The vision is transformed into distinct implementation phases and discrete steps, called clinical studies, each with well defined milestones and deliverables.
  • 3. • Fixed Trial Designs Paradigm, in particular for Phase III • -Standard trial designs allow little learningduring the conduct of the trial • -“Established”adaptations are used in group-sequential trialswhere stopping for superiority or futility can be done according to pre-defined rules at interim analyses • -Clearly separated development phases(II and III) • -If applied to all clinical projects one misses opportunitiesfor better use of information and more ethical drug development
  • 4. • Proof of efficacy in phase III trials: • -Show that observed treatment effect is ‘real’and not just random via testing of statistical hypotheses • -Regulatory practice and guidelines (eg. ICH E9) ask that the false positive error rate is controlled for pivotal trials (usually 2.5%) • -Trial designs, analysis and decisions rules at interim analysis are pre-defined • -
  • 5. • Emphasis on trial ‘integrity’(egregarding confidentiality of interim results) • 􀂃Error control: • -Multiple hypothesis testing or changes of design characteristicsat interim alters the false positive error rateof a standard statistical test
  • 6. • Primary objective -to combine “treatment selection”and “confirmation”in one trial––Enroll patients into the trial–During the trial, select the optimal dose (or population) basedon interim data–Based on surrogate marker, early read-out of endpoint, or primary endpoint–continues only on the selected dose and the comparator armAll datafrom chosen arm and comparator is used in final analysis, usingnovel statistical methods for combining evidence from 1stand 2ndstage to control false positive error rate and maintaining trial integrity
  • 7. • Motivation for adaptation • Selectionof appropriate patient sub-groupand confirmation of benefit in • one seamless phase II / IIItrial • Design specifications: 2-stage seamless adaptive design • Stage 1 • -sub-group selection (options: sub-group or all-patients) • -futility decision at two time points • -sub-group considered is defined upfront, based on evidence external to the trial • -Sample size could be adjusted at interim points • Stage 2 • -achieve confirmation of treatment benefit while maintaining integrity of trial (false positive rate and bias are controlled)
  • 8. • Adaptive trial design were reviewed by FDA and EMEA, and considered acceptable for the trial • Careful consideration and detail was required for the interim analysis and decision process • –What data will be needed to decide to adapt? • –Who will see this data, and make this decision? • –Will the results of this decision bias the trial?