Evidence map›Paper›PMID 39897346›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2025

A digital tool for self-reporting cardiovascular risk factors: The RADICAL study.

José Ferreira Santos, Inês Castela, Sara Gamboa Madeira, Sofia Furtado, Hugo Vieira Pereira, Diana Teixeira, Hélder Dores

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Digital self-assessment: A new and innovative way for identifying cardiovascular risks.International journal of cardiology. Cardiovascular risk and prevention · 2025
    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.

José Ferreira SantosCatolica Medical School, Lisboa, Portugal.
Inês CastelaCHRC, NOVA Medical School, Lisboa, Portugal.
Sara Gamboa MadeiraFaculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal.
Sofia FurtadoHospital da Luz Lisboa, Luz Saúde, Portugal.
Hugo Vieira PereiraHospital da Luz Lisboa, Luz Saúde, Portugal.
Diana TeixeiraCHRC, NOVA Medical School, Lisboa, Portugal.
Hélder DoresCHRC, NOVA Medical School, Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Cardiovascular diseases remain the leading cause of death worldwide. Risk stratification and early interventions are essential to overcome this reality. The Methods and results: A digital self-reported cardiovascular risk stratification tool, comprising 23 questions about classical and lifestyle cardiovascular risk factors, was completed by 4149 individuals aged 40-69 years (median age 53.0 [47.0; 60.0] years; 78 % women). Among the cardiovascular risk factors, 40.9 % reported hypercholesterolemia, 26.8 % hypertension, 17.3 % smoking, 5.8 % diabetes, 58.4 % physical inactivity, 19.4 % obesity, 33.7 % sleep less than 7 h/night, and 12.1 % had composite dietary risk factors. Most of the participants (89.9 %) referred having at least one of the eight cardiovascular risk factors. Women had 27 % higher odds of having at least one cardiovascular risk factor compared to men (OR = 1.27, 95 % CI [1.00, 1.60]). Participants aged 50-59 years also had higher odds of having at least one CV risk factor compared to those aged 40-49 years (OR = 1.35, 95 % CI [1.07, 1.70]). Conclusion: The RADICAL Study reveals a high prevalence of cardiovascular risk factors in adults without known cardiovascular disease. Beyond the relevance of traditional risk factors, such as hypercholesterolemia and hypertension, the results regarding physical activity, dietary and sleeping habits are concerning. A self-reported cardiovascular risk identification digital tool could be feasible and help to improve cardiovascular prevention.

Indexed as

CardiovascularDigitalPreventionRisk factorsSelf-reported

Identifiers

PMID39897346
PMCPMC11786916

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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.