Evidence map›Paper›PMID 39960266›Full record

ReviewClinical pharmacology and therapeutics2025

Planning Post-Launch Evidence Generation: Lessons From France, England and Spain.

Seamus Kent, Francois Meyer, Alina Pavel, Carlos Martin Saborido, Catrin Austin, Steve Williamson, Joshua Ray, Karen Facey

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Actions for stakeholders to develop better real-world evidence for HTA bodies/payers decision making.International journal of technology assessment in health care · 2025
    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

8 authors.

Seamus KentErasmus University Rotterdam, Rotterdam, the Netherlands.
Francois MeyerRWE4Decisions, Brussels, Belgium.
Alina PavelRWE4Decisions, Brussels, Belgium.
Carlos Martin SaboridoInstituto de Salud Carlos III HTA Agency, Madrid, Spain.ORCID 0000-0002-3969-6768
Catrin AustinNational Institute for Health and Care Excellence, Manchester, UK.ORCID 0009-0000-5397-7243
Steve WilliamsonNational Institute for Health and Care Excellence, Manchester, UK.ORCID 0009-0001-5695-3244
Joshua RayRoche, Basel, Switzerland.
Karen FaceyRWE4Decisions, Brussels, Belgium.ORCID 0000-0001-6670-5271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological developments and innovations in regulatory pathways have meant medicinal products are increasingly associated with substantial clinical and economic uncertainties at launch. This has increased the focus on continuous evidence generation to assess the real-world value of new medicines post-launch. This paper examines Post-Launch Evidence Generation (PLEG) systems in France, Spain, and England, drawing on insights from a series of multistakeholder roundtables hosted by RWE4Decisions. These discussions provided a platform to compare national approaches to PLEG considering PLEG planning and operationalization. The roundtable events included presentations by representatives of the HTA bodies and payers in France, Spain, and England, an industry response, and multistakeholder discussions. The events highlighted that while there are differences in the products to which PLEG is applied and the way it is operationalized, there are many common challenges experienced across systems and by all stakeholders. First, there is a recognition that evidentiary needs must be anticipated earlier to avoid PLEG where possible and better plan for PLEG where needed. Second, there is a need to streamline data collection. This includes trying to make greater use of existing data sources vs. primary data collection, prioritizing collection of a small number of outcomes that directly address key uncertainties, and by improving international collaborations to streamline data collection and evidence generation across borders. Our findings suggest value in improving scientific advice processes and international collaboration to discuss key data gaps early and ensure efficient and effective evidence collection that improves the speed and quality of reimbursement and pricing decisions.

Indexed as

Drug IndustryEvidence-Based MedicineProduct Surveillance, PostmarketingTechnology Assessment, BiomedicalEnglandFranceHumansSpain

Identifiers

PMID39960266
PMCPMC11924153

What OpenQuestion holds

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LicenceCC BY-NC
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.