Evidence map›Paper›PMID 40457718›Full record

ReviewClinical pharmacology and therapeutics2025

Optimizing Patient Registries for Regulatory Decision Making - Key Learnings From an HMA/EMA Multistakeholder Workshop.

Kelly Plueschke, Carla Jonker, Hanna Kankanen, Thorsten Vetter, Bruno Sepodes, Lutz Naehrlich, Jan Hillert, Gracy Crane, Sabine Straus, Paolo Foggi and 15 more

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Kelly PlueschkeEuropean Medicines Agency, Amsterdam, The Netherlands.ORCID 0000-0002-1824-4148
Carla JonkerEuropean Medicines Agency, Amsterdam, The Netherlands.ORCID 0000-0002-9093-2893
Hanna KankanenEuropean Medicines Agency, Amsterdam, The Netherlands.ORCID 0009-0004-8203-7188
Thorsten VetterEuropean Medicines Agency, Amsterdam, The Netherlands.
Bruno SepodesFaculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal.ORCID 0000-0002-2761-0955
Lutz NaehrlichEuropean Cystic Fibrosis Society Patient Registry, Karup, Denmark.ORCID 0000-0002-7146-6997
Jan HillertBig Multiple Sclerosis Data Network, Karolinska Institute, Stockholm, Sweden.
Gracy CraneGlobal Regulatory Science, Roche Pharmaceuticals, Welwyn Garden City, UK.
Sabine StrausMedicines Evaluation Board (MEB), Utrecht, The Netherlands.
Paolo FoggiItalian Medicines Agency (AIFA), Rome, Italy.
Simona MartinJoint Research Centre, European Commission, Ispra, Italy.
Christina KyriakopoulouHealth Innovations and Ecosystems Unit, Directorate General Research and Innovation, European Commission, Brussels, Belgium.
Peter MolMedicines Evaluation Board (MEB), Utrecht, The Netherlands.ORCID 0000-0002-4262-3180
Francesca DayEuropean Medicines Agency, Amsterdam, The Netherlands.
Kieran BreenResearch Centre, St Andrew's Healthcare, Northampton, UK.ORCID 0000-0003-3974-4237
Neil BennettTREAT-NMD Services Ltd, Newcastle-upon-Tyne, UK.
Mencia de Lemus BelmonteSMA Europe, Freiburg, Germany.
Simon BennettBiogen, Maidenhead, UK.
Patrice VerpillatEuropean Medicines Agency, Amsterdam, The Netherlands.ORCID 0000-0003-0010-1699
Kit C B RoesDepartment IQ Health, Biostatistics, Radboud University Medical Center, Nijmegen, The Netherlands.
Ana CochinoEuropean Medicines Agency, Amsterdam, The Netherlands.
Franz SchaeferDepartment of Pediatrics I, Heidelberg University Hospital, Heidelberg, Germany.
Jesús María Hernández-RivasDepartment of Medicine, IBSAL, University of Salamanca, Hospital Universitario de Salamanca, Salamanca, Spain.
Patricia McGettiganWilliam Harvey Research Institute, Queen Mary University of London, London, UK.ORCID 0000-0002-9757-9754
Peter ArlettEuropean Medicines Agency, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Joint Heads of Medicines Agencies and European Medicines Agency's (HMA/EMA) big data initiative paves the way for better integration of real-world data, including data from patient registries, into regulatory decisions on medicines. This article focuses on the outcome of a two-day multistakeholder workshop organized by EMA in 2024, which explored ways to optimize the EMA qualification procedure for patient registries, and to establish the value and enable the use of these data across the full spectrum of research questions. Key recommendations include the need to clarify the aim, scope, and added value of the qualification of registries, coupled with a review of the procedural steps to ensure the process is fit-for-purpose to evaluate the use of registries in specific regulatory contexts. Further recommendations focused on strengthening interactions between stakeholders, as well as providing them with enhanced support by increasing awareness of publicly available tools that could leverage the potential of registry data, together with existing guidance. The European Medicines Regulatory Network is now working together with all relevant stakeholders, including the EMA scientific committees and working parties, the Joint HMA/EMA Network Data Steering Group and existing focus groups with external partners, to implement concrete actions that will address these recommendations. Among others, the update of existing guidance, the development of templates and Questions & Answers documents, and the design of appropriate communication and stakeholder engagement plans will aid in achieving the common goal of making optimal use of patient registry data to support public health in the European Union.

Indexed as

Big DataDecision MakingDrug and Narcotic ControlRegistriesEuropeHumansStakeholder Participation

Identifiers

PMID40457718
PMCPMC12355018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.