Pharmaceutical R&D needs a paradigm shift to improve the 50% success rate of late phase clinical trials. I propose the \'Learn-Apply\' paradim which calls re-configuring drug deveopment goals to expand beyond \'confirmation\'.
2. •Industry, regulators and academia are all in this together.
•This talk is not about Pharmacometrics–but it is about the fundamental R&D goals. Excessive focus on ‘confirmation’ is curtailing innovation. I propose an alternative here for your consideration.
Gobburu
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3. Gobburu
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“Currently, the practical goal of drug
development is (regulatory) approval. This goal
drives the intellectual focus: demonstrating
(confirming) efficacy. Thus, understanding
confirmatory study design (primarily how to
avoid confounding) and devising and evaluating
test statistics are seen as the intellectually
challenging tasks as, indeed, a glance at the
contemporary clinical trial or biostatistics
literature will confirm.”
Learning versus confirming in clinical drug development
LB Sheiner, CPT, 1997
5. Gobburu
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•PLAN-Establish the objectives and processes necessary to deliver results in accordance with the expected output.
•DO-Implement the new processes.
•CHECK-Measure the new processes and compare the results against the expected results to ascertain any differences.
•ACT-Analyze the differences to determine their cause. Each will be part of either one or more of the P-D-C-A steps.
Deming
8. Gobburu, Pharmacometrics 8
Disease
Model
Trial
Model
FDA Data
Diverse
Expertise
Physiology
Drug
Model
Molecule
Screening
Trial Design
Endpoints
Policy
Patient
Selection
Dose
Selection
10. •Sponsor was developing a drug for a life- threatening condition.
•Few approved drugs available in US
•3 Registration trials conducted
–~600 patients, 3 doses
–Mild, severe baseline disease patients
–All 3 trials failed to meet primary endpoint
Gobburu
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Case#1
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0 5 10 15 20 25 30
Dose, mg
-40
-20
0
20
40
60
80
Placebo-Subtracted Change
In Score A at Week 12
0 5 10 15 20 25 30
Dose, mg
-40
-20
0
20
40
60
80
Placebo-Subtracted Change
In Score A at Week 12
Mild Baseline Disease
(Unlikely Responders)
Severe Baseline Disease
(Likely Responders)
Case#1
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Case#1
Confirm mode
•3 Failed trials
•Drug not approved
•Development time prolonged
•More trials needed for approvalLearn-Apply mode
•Analysis of data beyond primary analysis could have identified enrichment opportunities
•Trials #2, #3 could have served a primaries; Trial#1 supportive.
•Cost and time could have been saved