Optimizing Clinical Outcome Strategies for Regulatory Approvals in Autoimmune Diseases: A Decade of Insights
Client: global immunology biotech, HEOR team
Scope: ten years of FDA and EMA approvals · NICE, HAS and G-BA opinions over the most recent five
10 years of approvals
2 regulators, 3 HTA bodies
4 COA types classified
1 reusable endpoint database
- Challenge
- Clinical outcome assessments decide what a label can say, yet FDA and EMA accept them differently and HTA bodies value them differently again. The client needed to know, across a decade of autoimmune approvals, which COAs earned label claims, which were sought and refused, and how NICE, HAS and G-BA later judged the PROs the EMA accepted, so that future trial designs satisfy regulators and payers at once.
- What we did
- Identified every new autoimmune therapy approved by FDA and EMA over a ten-year span, excluding immuno-oncology and reformulations. Reviewed drug approval packages, EPARs and product labels, and the NICE, HAS and G-BA reports on EMA-approved PROs. Built an endpoint database capturing COA type (PRO, ObsRO, ClinRO, PerfO), concept of interest, endpoint hierarchy, disease-specific versus generic instruments, reviewer and SEALD comments, and claims sought but not granted. Analysed frequencies, positioning and trends over time, compared them against published FDA and EMA guidance, and reported where regulatory and HTA expectations align and where they diverge.
- Different
- Regulatory and HTA evidence read together in one analysis: the same instrument tracked from trial protocol to label to reimbursement opinion. AI-assisted screening and extraction of approval documents, with every coded field verified by an analyst.
- Outcome
- A ten-year evidence base and a set of design rules for choosing COAs that survive both regulatory review and HTA appraisal.