Evidence map›Paper›PMID 42872765›Full record

ArticleEuropean journal of public health2026

Shaping public health policy in personalized prevention: the multidimensional PROPHET framework.

Astrid Moura Vicente, Angelica Valz Gris, Cristina Costa, Maria Luis Cardoso, Alexandra Costa, Fátima Lopes, Pragathy Kannan, Markus Perola, Roberta Pastorino, Angelo Maria Pezzullo and 1 more

Abstract read
In one paragraph

Article in European journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Astrid Moura VicenteDepartament of Health Promotion and Non-communicable Disease Prevention, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
Angelica Valz GrisSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID 0000-0001-7227-2281
Cristina CostaDepartament of Health Promotion and Non-communicable Disease Prevention, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.ORCID 0009-0008-3262-7066
Maria Luis CardosoDepartament of Health Promotion and Non-communicable Disease Prevention, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
Alexandra CostaDepartament of Health Promotion and Non-communicable Disease Prevention, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
Fátima LopesDepartament of Health Promotion and Non-communicable Disease Prevention, Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.
Pragathy KannanFaculty of Medicine, Clinical and Molecular Metabolism Research Program (CAMM), University of Helsinki, Helsinki, Finland.
Markus PerolaFaculty of Medicine, Clinical and Molecular Metabolism Research Program (CAMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4842-1667
Roberta PastorinoSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.
Angelo Maria PezzulloSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID 0000-0002-8252-4654
Stefania BocciaSection of Hygiene, University Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy.

Funding

European Union 101057721PROPHET
6 · The paper itself

Abstract

There is currently no widely accepted framework to guide decision-making for preventive approaches using genetic and genomic technologies. In the context of the PROPHET project, we developed a multidimensional framework integrating Health Technology Assessment and Health Impact Assessment, complemented by a monitoring phase to assess the impact of policies implementing personalized prevention interventions. This integrated approach links technical, clinical, and societal dimensions, supporting prevention strategies that are effective, equitable and sustainable. The PROPHET framework supports policy makers in the equitable and efficient implementation of personalized prevention policies at scale.

Indexed as

Health PolicyPolicy MakingPrecision MedicinePublic HealthHumansTechnology Assessment, Biomedical

Identifiers

PMID42872765
PMCPMC13662691

What OpenQuestion holds

Textmetadata
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.