Evidence map›Paper›PMID 40993818›Full record

ArticleJournal of translational medicine2025

Bridging the prevention gap: funding distribution and methodological shifts in prevention-focused biomedical research under EU framework programmes.

Francesca Pistollato, Fabia Furtmann, Annalisa Gastaldello, Roberta Pastorino, Eleni Petra, Ignacio J Tripodi, Helder Constantino

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. 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

7 authors.

Francesca PistollatoHumane World for Animals, Europe, Brussels, Belgium. fpistollato@humaneworld.org.ORCID 0000-0003-0288-9539
Fabia FurtmannHumane World for Animals, Europe, Brussels, Belgium.
Annalisa GastaldelloEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Roberta PastorinoSection of Hygiene, University Department of Health Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.
Eleni PetraEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Ignacio J TripodiIndependent Scholar, Barcelona, Spain.
Helder ConstantinoHumane World for Animals, Europe, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoncommunicable diseases (NCDs) contribute significantly to global morbidity and mortality, accounting for 74% of all deaths worldwide. Many of these chronic diseases can be prevented or their onset mitigated through lifestyle interventions. Complementing these efforts, robust biomarkers enable early diagnosis (secondary prevention), while tertiary prevention can reduce long-term complications and improve disease management. Moreover, the importance of prevention extends beyond NCDs to infectious diseases, where lifestyle-related factors can also play a pivotal role. Innovative human-based research methods have shown suitable for modeling several diseases and advancing drug discovery. These approaches are particularly relevant in prevention research, given the inherently human nature of the lifestyle and environmental factors associated with disease risk and progression.

methodsHere we conducted a retrospective evaluation of biomedical research projects funded under the 7th Framework Programme (FP7), Horizon 2020, and currently ongoing Horizon Europe (HE). We developed and refined a computer-based approach based on the use of Natural Language Processing (NLP) to examine three key aspects: (i) the integration of primary, secondary, and tertiary prevention in these projects, (ii) the biomedical research areas which most frequently incorporate prevention, and (iii) the use of animal-based research versus human-centric approaches.

resultsOur findings reveal a persistent gap in the percentage of prevention-focused biomedical research projects, with only 4.4%, 4.5%, and 1.9% of FP7, H2020, and HE projects, respectively, addressing prevention. This gap was particularly pronounced in certain biomedical research areas, such as age-related diseases and diabetes and metabolic syndrome research, which showed a decrease in the percentage of prevention-related projects especially under most recent framework programme (HE). While the reliance on animal-based methods has been generally modest, averaging around 26% of all prevention-related projects, tertiary prevention research, and prevention projects focused on some biomedical areas (i.e., age-related diseases, personalized medicine, antimicrobial resistance, bone disorders, and respiratory diseases) showed increased percentages in projects using animals under more recent FPs. Analysis of funding distribution revealed progressively less funding allocated to prevention-related projects focused on diabetes and metabolic syndrome, neurodegenerative diseases, age-related disorders, and AMR. In addition, the proportion of funding allocated to both secondary and tertiary prevention decreased under HE.

conclusionsA shift toward human-centric approaches, particularly in prevention-focused research, is essential to enhance the translatability of findings. As policymakers prepare for the next EU funding framework, these insights offer critical guidance for developing targeted funding strategies that prioritize human-centric prevention research as a cornerstone of public health.

Indexed as

Biomedical ResearchEuropean UnionAnimalsHumansNatural Language ProcessingNoncommunicable DiseasesAnimalsBiomedical researchFramework programmeFundingHuman-centric approachesInfectious diseasesNoncommunicable diseasesPreventionProjects

Identifiers

PMID40993818
PMCPMC12461962

What OpenQuestion holds

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Registered trials

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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.