Evidence map›Paper›PMID 40260460›Full record

ReviewInternational journal of technology assessment in health care2025

The role and value of real-world evidence in health technology decision-making in France, Germany, Italy, Spain, and the UK: insights on external control arms.

Alexa Vidalis, Oscar Dumoulin, Mrunmayee Godbole, Catia C Proenca

Abstract readReview
In one paragraph

Review in International journal of technology assessment in health care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Innovating HTA: a call for capacity building and standardization.International journal of technology assessment in health care · 2026
    Review
  6. Review
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

4 authors.

Alexa VidalisAlira Health, Market Access, Basel, Switzerland.
Oscar DumoulinAlira Health, Market Access, Basel, Switzerland.
Mrunmayee GodboleAlira Health, Real World Solutions, Basel, Switzerland.
Catia C ProencaAlira Health, Real World Solutions, Basel, Switzerland.ORCID https://orcid.org/0000-0002-6051-4017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world evidence (RWE) is increasingly used and accepted by health technology assessment (HTA) bodies as supportive evidence to inform the approval of new technologies. However, the criteria driving RWE acceptance are often unclear.This study aims to improve understanding of the role and value of RWE in HTA decision-making and outline the best practices in building real-world external control arms (ECAs).A mixed approach of a targeted literature review and HTA expert interviews was applied. The HTA reports of ten selected technologies and the expert interviews from France, Germany, Italy, Spain, and the UK informed the criteria driving the acceptance of RWE. Overall, the UK and Spanish HTA bodies are more receptive to accepting RWE, whereas the French and German are the least accepting. When RWE is used to substantiate efficacy claims, the level of scrutiny from regulators and HTA bodies is considerably higher than when RWE has different intended uses. Representativeness of the data source, overall transparency in the study and robust methodologies are the key criteria driving RWE acceptance across markets.

Indexed as

Decision MakingTechnology Assessment, BiomedicalHumansUnited Kingdomdecision-makingEuropeexternal control armshealth technology assessmentreal-world evidence

Identifiers

PMID40260460
PMCPMC12019763

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.