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EMA Extrapolation Framework Regulatory tools Workshop on extrapolation of efficacy and safety in medicine development across age groups Presented in London on 18 May 2016 by Paolo Tomasi MD PhD Head of Paediatric Medicines, European Medicines


  1. EMA Extrapolation Framework Regulatory tools Workshop on extrapolation of efficacy and safety in medicine development across age groups Presented in London on 18 May 2016 by Paolo Tomasi MD PhD Head of Paediatric Medicines, European Medicines Agency An agency of the European Union

  2. Is extrapolation always a good idea? 1

  3. Is extrapolation always a good idea? A w ord of caution: different response to treatm ents in adults and children (GLP1 agonist treatment for T2DM) Postprandial Adolescents (N= 9) Adults (N= 12) plasma glucose placebo placebo Higher dose Lower dose Lower dose Higher dose 2

  4. Is paediatric development mandatory in the EU? 3

  5. Paediatric developm ent is m andatory in the EU for new m edicines: • Unless a product-specific w aiver or a class waiver (for a class of medicinal products) is granted by EMA (waivers apply only for specific medical conditions) • Deferrals can also be granted (studies in children can be initiated and/ or completed after applying for marketing authorization in other populations or conditions) 4

  6. EMA w orks w ith ow n staff ( scientific/ adm inistrative) + Scientific Com m ittees ( nom inated by Mem ber States/ EC) All EMA Scientific Com m ittees are involved w ith paediatric m edicines: CHMP: authorises medicines for paediatric (and adult) use CHMP SAWP PRAC: monitors safety of paediatric (and adult) authorised medicines PRAC CAT PDCO CAT: assesses advanced therapies for children (and adults) EMA Scientific and COMP HMPC Administrative COMP: designates medicinal products as orphan Secretariat drugs, for paediatric (and adult) use HMPC: discusses herbal medicinal products for paediatric (and adult) use SAWP: provides scientific advice on medicines being developed for paediatric (and adult) use PDCO : agrees Paediatric Investigation Plans, Waivers, modifications of plans, checks compliance with plans, advises other Committees / EC on paediatric uses… 5

  7. What types of extrapolation strategy are possible? 6

  8. Analysis of extrapolation strategies (efficacy) No extrapolation (full development programme in the target population) • e.g. paediatric-only conditions, vaccines • Relatively unusual otherwise, as data in adults are generally available (17% of FDA Written Requests) “Partial” extrapolation (reduced study programme in target population depending on magnitude of expected differences and certainty of assumptions) continuum • Most frequent case (68% in FDA WR) • Conscious or implicit (unacknowledged) • Degree of extrapolation may vary substantially “Com plete” ( “total”) extrapolation (some supportive data to validate the extrapolation concept) • e.g. no efficacy study in children. Relatively uncommon but possible (14% in FDA WR)

  9. Examples of extrapolation continuum Examples of extrapolation strategies Definition Methodology Notes / examples Total extrapolation No efficacy studies in PK, PK/ PD or safety study(ies) may still be needed. ( of efficacy) children Efficacy may be extrapolated from limited data, not fully Case series, N-of-1 trials powered Bayesian designs (simple Degree of extrapolation depending on the prior or adaptive) distribution(s) and weight Adaptive designs (under Efficacy results from adult studies to inform design a frequentist framework) Partial extrapolation Non-standard significance level Lower power of efficacy study (provided point Use of fixed, “underpowered” sample size (N= < 60 per estimate and direction of arm) effect are similar in Safety and activity study, not powered for efficacy but adults) with efficacy endpoint(s) Partial extrapolation One fully-powered, comparative, randomised, double- ( FDA) Single efficacy trial blind efficacy and safety study in children of appropriate No extrapolation age group(s) ( EMA) Complete development programme required, for example Full development in No extrapolation including at least two separate comparative, randomised, children double-blind efficacy studies. P Tomasi, Journal of Clinical Studies, 5(3): 10-16, 2013

  10. Extrapolation in EU decisions on paediatric investigation plans Extrapolation continuum: examples accepted in Paediatric Investigation Plans • PK/ PD studies only. • Dose-ranging or dose-titration studies. • Non-controlled ‘descriptive‘ efficacy and/ or safety study. • Controlled study, but arbitrary sample size. • Larger significance level, lower coverage probability of confidence intervals. • Acceptance of (very) surrogate endpoints for the primary analysis. • Interpolation (bridging), e.g. between age subgroups. • Modelling prior information from existing data sets (Bayesian models, meta-analytic predictive).

  11. Is sample size affected by the use of extrapolation? 10

  12. Impact of extrapolation on sample size Development profile - Extrapolation Vaccines Uro-nephrology • Median total number of Psychiatry children to be recruited is generally lower when Pneumology - Allergology extrapolation is part of Pain the development plan Oto-rhino-laryngology Other • However impact varies Ophthalmology by therapeutic area Therapeutic area Oncology and may not always Nutrition In PIP? lead to reduced sample No Neurology sizes Yes Neonatology - Paediatric Intensive Care Infectious Diseases • This is in line with the Immunology-Rheumatology-Transplantation understanding that Haematology-Hemostaseology measures to extrapolate efficacy are relevant to Gastroenterology-Hepatology strengthen the Endocrinology-Gynaecology-Fertility-Metabolism development and the Diagnostic interpretation of Dermatology paediatric data; only as a Cardiovascular Diseases consequence, the sample Anaesthesiology size may be reduced in some cases. -500 0 500 1000 1500 Median number of subjects per development 11

  13. Is extrapolation accepted in EU Paediatric Investigation Plans? 12

  14. Extrapolation in PI Ps • 52 PIPs agreed with explicit extrapolation measures/ studies (2007-2015) • Extrapolation is generally limited to efficacy • EMA Modelling and Simulation Working Group:  Provides specialist scientific support on modelling and simulation to the SAWP, PDCO and CHMP  2015: 47 out of 90 referral procedures originated from PDCO 13

  15. Example 1

  16. Extrapolation in initial PIP decisions – other examples Condition Age group Notes 2-18y Fixed-dose combination, extrapolation from Treatment of HIV1 infection studies with single substance products 0-18y Only PK/ PD study, active controlled, is performed Neutropenia (chemotherapy-induced) 12-18y Extrapolation from results in younger age groups Pulmonary hypertension 1m-18y Safety study only Prevention of Borrelia infection 1m-18y PK and safety only. Based on M+ S Prevention of invasive fungal infections Preterm Efficacy is extrapolated in preterm neonates from Perinatal asphyxia data in neonates and infants 0-18y Extrapolation “forced”, as trial unfeasible Prevention of smallpox

  17. Extrapolation in initial PIP decisions – other examples Condition Age group Notes Neonates From studies in older paediatric age-groups Gastroesophageal reflux disease / HP eradication 1m-12y From studies in older paediatric age-group Intra-abdominal infection 0-2y From studies in older paediatric age-groups Haemolytic-uremic syndrome from Shiga- toxin E. coli 6-18y From studies in younger paediatric age-groups Induction of cardioplegia during surgery 12-18y From studies in younger paediatric age-groups Opioid-induced constipation 2-6y From studies in older paediatric age-groups ADHD 1m-18y Safety only, with external controls High-grade glioma

  18. I nstances w here significant am ounts of extrapolation are accepted m ore often • Anti-infective products, oncology (20% of PIPs) • Fixed-dose combination products (extrapolation from individual active substances) • Main paediatric interest is in younger age groups (efficacy can be extrapolated from younger children and adults to older children/ adolescents) • “Bioterrorism” products (e.g. anthrax or smallpox vaccines and treatments)

  19. I nstances w here extrapolation is less likely to be acceptable • Diseases that may appear similar in paediatric patients and adults, but underlying physiology suggests a difference - many failed trials • Neurologic/ psychiatric conditions: – SSRIs, antidepressants in general • Pneumology, allergology • Vaccines

  20. Where to go (first) to discuss paediatric extrapolation? 20

  21. Where to go (first) to discuss paediatric extrapolation? preferred Early interactions: Orphan • PRI ME designation • Early paediatric interaction • Business pipeline meeting Form al PI P SME Office appl. @PDCO Innovation Task Scientific Force briefing meeting Advice

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