Closing Rem arks AP is a scientific concept of medicine - - PowerPoint PPT Presentation

closing rem arks
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Closing Rem arks AP is a scientific concept of medicine - - PowerPoint PPT Presentation

Closing Rem arks AP is a scientific concept of medicine development and evidence gener a tion intended for medicines that address unmet needs. It is not a new regulatory route for medicines approval. It aims to facilitate best use of


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  • AP is a scientific concept of medicine development and evidence

generation intended for medicines that address unmet needs.

  • It is not a new regulatory route for medicines approval. It aims

to facilitate best use of existing tools through multistakeholder dialogue, including patients.

Closing Rem arks

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  • Lifecycle management and further data acquisition is nothing

new.

  • Can we use all data sources better to increase the knowledge on

the benefits and the risks in the shortest possible timeframe

Closing Rem arks

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Closing Rem arks

  • Focus is on evaluating the benefit/ risk in a restricted population

where unmet need is highest

  • All regulatory decisions are based on evidence. Standards do

not change. A targeted subgroup based on high unmet need might permit use of Conditional MA with commitment for provision of additional data.

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  • Sources of data exist, but are diverse and it is key to understand

the strengths and limitations of them further

  • This is not new. We have been using Real World Data in different

aspects of regulatory decision making for some time, exceptionally to make decisions on efficacy and BR.

  • Prospective planning is key, understanding how the approach will

unfold over the life-cycle, and planning for an iterative decision making. RCT/ Observational/ real w orld data

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  • SLS: 8 years work, huge undertaking, a different way of looking

at clinical practice. But SLS is a randomised trial in a very big

  • population. Answers the question of most relevance for the

clinician, HTA bodies also liked the design.

  • Dialogue is not trivial. Needs competence, capacity and

experience.

  • Drug development evolves but is underpinned by RCTs. When

moving away from the RCT paradigm, important to remember the benefits of each part of R, C and T RCT/ Observational/ real w orld data