Evidence map›Paper›PMID 38824585›Full record

ArticleSystematic reviews2024

Biomarkers for personalised prevention of chronic diseases: a common protocol for three rapid scoping reviews.

E Plans-Beriso, C Babb-de-Villiers, D Petrova, C Barahona-López, P Diez-Echave, O R Hernández, N F Fernández-Martínez, H Turner, E García-Ovejero, O Craciun and 12 more

Abstract read
In one paragraph

Article in Systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Personalized prevention of neurodegenerative diseases: scoping review and evidence gap map.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Population health management fit lifecycles in analytics.Frontiers in artificial intelligence · 2025
    Article
  7. Article
  8. 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

22 authors.

E Plans-Beriso *Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain. elena.plans@isciii.es.ORCID 0000-0002-9388-8744
C Babb-de-Villiers *PHG Foundation, University of Cambridge, Cambridge, UK.
D PetrovaCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
C Barahona-LópezDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
P Diez-EchaveDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
O R HernándezDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
N F Fernández-MartínezCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
H TurnerPHG Foundation, University of Cambridge, Cambridge, UK.
E García-OvejeroDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
O CraciunDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
P Fernández-NavarroDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
N Fernández-LarreaDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
E García-EsquinasDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
I KuhnCambridge University Medical Library, Cambridge, UK.
V Jiménez-PlanetNational Library of Health Sciences, Instituto de Salud Carlos III, Madrid, Spain.
V MorenoCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
F Rodríguez-ArtalejoCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
M J SánchezCIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
M Pollan-SantamariaDepartment of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.
L BlackburnPHG Foundation, University of Cambridge, Cambridge, UK.
M Kroese *PHG Foundation, University of Cambridge, Cambridge, UK.
B Pérez-Gómez *Department of Epidemiology of Chronic Diseases, National Centre for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain.

Funding

HORIZON EUROPE Framework Programme 101057721UK Research and Innovation 10040946
6 · The paper itself

Abstract

introductionPersonalised prevention aims to delay or avoid disease occurrence, progression, and recurrence of disease through the adoption of targeted interventions that consider the individual biological, including genetic data, environmental and behavioural characteristics, as well as the socio-cultural context. This protocol summarises the main features of a rapid scoping review to show the research landscape on biomarkers or a combination of biomarkers that may help to better identify subgroups of individuals with different risks of developing specific diseases in which specific preventive strategies could have an impact on clinical outcomes. This review is part of the "Personalised Prevention Roadmap for the future HEalThcare" (PROPHET) project, which seeks to highlight the gaps in current personalised preventive approaches, in order to develop a Strategic Research and Innovation Agenda for the European Union.

objectiveTo systematically map and review the evidence of biomarkers that are available or under development in cancer, cardiovascular and neurodegenerative diseases that are or can be used for personalised prevention in the general population, in clinical or public health settings.

methodsThree rapid scoping reviews are being conducted in parallel (February-June 2023), based on a common framework with some adjustments to suit each specific condition (cancer, cardiovascular or neurodegenerative diseases). Medline and Embase will be searched to identify publications between 2020 and 2023. To shorten the time frames, 10% of the papers will undergo screening by two reviewers and only English-language papers will be considered. The following information will be extracted by two reviewers from all the publications selected for inclusion: source type, citation details, country, inclusion/exclusion criteria (population, concept, context, type of evidence source), study methods, and key findings relevant to the review question/s. The selection criteria and the extraction sheet will be pre-tested. Relevant biomarkers for risk prediction and stratification will be recorded. Results will be presented graphically using an evidence map. INCLUSION CRITERIA: Population: general adult populations or adults from specific pre-defined high-risk subgroups; concept: all studies focusing on molecular, cellular, physiological, or imaging biomarkers used for individualised primary or secondary prevention of the diseases of interest; context: clinical or public health settings. SYSTEMATIC REVIEW REGISTRATION: https://doi.org/10.17605/OSF.IO/7JRWD (OSF registration DOI).

Indexed as

BiomarkersPrecision MedicineCardiovascular DiseasesChronic DiseaseHumansNeoplasmsNeurodegenerative DiseasesScoping Reviews as TopicBiomarkersBiomarkersCancerCardiovascular diseasesChronic diseasesNeoplasmNeurodegenerative diseasesPersonalised preventionPrecision MedicinePrecision prevention

Identifiers

PMID38824585
PMCPMC11143646

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.