Evidence map›Paper›PMID 29785141›Full record

ArticleClinical epidemiology2018

Validity of a method for the self-screening of cardiovascular risk.

María Barroso, Silvia Pérez-Fernández, M Mar Vila, M Dolors Zomeño, Ruth Martí-Lluch, Ferran Cordon, Rafel Ramos, Roberto Elosua, Irene R Degano, Montse Fitó and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02373319 (Validity and Effectiveness of a Method for Self-screening of Cardiovascular Risk), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT02373319 nacompletednot on this map

Validity and Effectiveness of a Method for Self-screening of Cardiovascular Risk

TypeinterventionalSponsorParc de Salut MarRan2016 to 2018Enrolled960ConditionsRisk Factor, CardiovascularArmsCV-screening-1 plus personalized, CV-screening-2 plus personalized, CV-screening-1 plus standard, CV-screening-2 plus standard
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. A digital tool for self-reporting cardiovascular risk factors: The RADICAL study.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  6. 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

14 authors.

María BarrosoCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.
Silvia Pérez-FernándezCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.
M Mar VilaCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.
M Dolors ZomeñoCardiovascular Risk and Nutrition, IMIM-Hospital del Mar Research Institute.
Ruth Martí-LluchUnitat de Suport a la Recerca de Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol.
Ferran CordonCentre d'Atenció Primària Montilivi, Direcció d'Atenció Primària Girona, Institut Català de la Salut.
Rafel RamosUnitat de Suport a la Recerca de Girona, Institut Universitari d'Investigació en Atenció Primària Jordi Gol.
Roberto ElosuaCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.
Irene R DeganoCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.
Montse FitóDepartment of Mathematics and Computer Science, University of Barcelona.
Carmen CabezasCatalan Agency of Public Health.
Gemma SalvadorCatalan Agency of Public Health.
Conxa CastellCatalan Agency of Public Health.
María GrauCardiovascular Epidemiology and Genetics Research Group, IMIM-Hospital del Mar Research Institute.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe validity of a cardiovascular risk self-screening method was assessed. The results obtained for self-measurement of blood pressure, a point-of-care system's assessment of lipid profile and glycated hemoglobin, and a self-administered questionnaire (sex, age, diabetes, tobacco consumption) were compared with the standard screening (gold standard) conducted by a health professional.

methodsCrossover clinical trial on a population-based sample from Girona (north-eastern Spain), aged 35-74, with no cardiovascular disease at recruitment. Participants were randomized to one of the two risk assessment sequences (standard screening followed by self-screening or vice versa). Cardiovascular risk was estimated with the Framingham-REGICOR function. Concordance between methods was estimated with the intraclass correlation coefficient (ICC). Sensitivity, specificity, and positive and negative predictive values were estimated, considering 5% cardiovascular risk as the cutoff point. ClinicalTrials.gov Registration #NCT02373319. Clinical Research Ethic Committee of the Parc de Salut Mar Registration #2014/5815/I.

resultsThe median cardiovascular risk in men was 2.56 (interquartile range: 1.42-4.35) estimated by standard methods and 2.25 (1.28-4.07) by self-screening with ICC=0.92 (95% CI: 0.90-0.93). In women, the cardiovascular risk was 1.14 (0.61-2.10) by standard methods and 1.10 (0.56-2.00) by self-screening, with ICC=0.89 (0.87-0.90). The sensitivity, specificity, and positive and negative predictive values for the self-screening method were 0.74 (0.63-0.82), 0.97 (0.95-0.99), 0.86 (0.77-0.93), and 0.94 (0.91-0.96), respectively, in men. In women, these values were 0.50 (0.30-0.70), 0.99 (0.98-1), 0.81 (0.54-0.96), and 0.97 (0.95-0.99), respectively.

conclusionThe self-screening method for assessing cardiovascular risk provided similar results to the standard method. Self-screening had high clinical performance to rule out intermediate or high cardiovascular risk.

Indexed as

cardiovascular diseasesempowermentepidemiologypreventive medicinepublic healthrisk assessment

Identifiers

PMID29785141
PMCPMC5953309

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Registered trials

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.