Evidence map›Paper›PMID 40641981›Full record

ArticleFrontiers in medicine2025

Impact of regulatory measures on the approval timelines of advanced therapy medicinal products by the European Medicines Agency.

Simonita Alaburde, Justinas Ivaska, Greta Kaspute, Tatjana Ivaskiene

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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.

Simonita AlaburdeState Research Institute Center for Innovative Medicine, Vilnius, Lithuania.
Justinas IvaskaState Research Institute Center for Innovative Medicine, Vilnius, Lithuania.
Greta KasputeState Research Institute Center for Innovative Medicine, Vilnius, Lithuania.
Tatjana IvaskieneState Research Institute Center for Innovative Medicine, Vilnius, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The study examines the impact of regulatory tools, including PRIority MEdicines (PRIME) scheme, on the marketing authorization (MA) timeline of advanced therapy medicinal products (ATMPs) approved by the European Medicines Agency (EMA). Methods: A retrospective analysis of EMA-approved ATMPs was conducted using publicly available European public assessment reports. Timelines from submission to approval, regulatory pathways, frequency of scientific advice (SA), and use of supportive mechanisms such as PRIME and Orphan designation were analyzed. Results: A total of 27 ATMPs were approved in the EU, 52% of which received PRIME designation and 74% held orphan status. PRIME participation was associated with a 42.7% reduction in time to MA ( Discussion: The PRIME scheme facilitates earlier MA by supporting developers in addressing regulatory requirements more efficiently, shortening time to approval by approximately one year. The study underscores the value of early and frequent engagement with regulatory authorities and the need for tailored regulatory frameworks to support smoother approval processes. These insights can help developers better plan and optimize regulatory strategies. By demonstrating the measurable benefits of PRIME, this research supports its continued use to accelerate access for patients with high unmet medical needs.

Indexed as

advanced therapygene therapymarketing authorizationPRIME schemesomatic-cell therapytissue engineering

Identifiers

PMID40641981
PMCPMC12240929

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.