Evidence map›Paper›PMID 26518623›Full record

ArticleBMC cardiovascular disorders2015

A six question screen to facilitate primary cardiovascular disease prevention.

Niels V van der Hoeven, Maurice A J Niessen, Erik S G Stroes, Lex Burdorf, Roderik A Kraaijenhagen, Bert-Jan H van den Born

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Niels V van der HoevenDepartments of Internal and Vascular Medicine, Academic Medical Center of the University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands. n.v.vanderhoeven@amc.nl.
Maurice A J NiessenNIPED Research Foundation, Amsterdam, The Netherlands.
Erik S G StroesDepartments of Internal and Vascular Medicine, Academic Medical Center of the University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.
Lex BurdorfDepartment of Public Health, Erasmus MC, Rotterdam, The Netherlands.
Roderik A KraaijenhagenNIPED Research Foundation, Amsterdam, The Netherlands.
Bert-Jan H van den BornDepartments of Internal and Vascular Medicine, Academic Medical Center of the University of Amsterdam, Meibergdreef 9, 1105AZ, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEuropean guidelines on primary prevention of cardiovascular disease (CVD) recommend the SCORE risk charts for determining CVD risk, which include blood pressure and serum cholesterol as risk parameters. To facilitate cost-effective large-scale screening, we aimed to construct a risk score with 'non-invasive' parameters as a first screening step to identify persons at increased CVD risk requiring further risk assessment.

methodsWe used data of Dutch employees from 25 organisations participating in a health risk assessment between August 2007 and January 2013. Backward multivariate logistic regression analysis was employed to select non-invasive, independent predictors of high CVD risk, defined as the 10-year risk of fatal CVD of ≥5 % based on the SCORE formula. The total CVD risk score was calculated as the summed coefficients of the retained variables.

resultsData of 6189 male participants was used for the development and validation of the risk score. Age, tobacco use, history of hypertension, alcohol consumption, BMI, and waist circumference were independent predictors of high CVD risk. Ten-fold cross-validation resulted in an area under the curve of 0.95 (SE 0.01, 95 % confidence interval 0.94-0.96). A cut-off score ≥45 on the CVD risk score yielded a sensitivity of 0.93, and a specificity of 0.85.

conclusionsWe developed a simple, non-invasive risk score that accurately identifies persons at increased CVD risk according to the SCORE formula in a population of working men. The risk score enables a stepwise approach in large screening programmes, strongly reducing the number of persons that require full risk estimation including blood pressure and cholesterol measures.

Indexed as

AdultAgedCardiovascular DiseasesHumansMaleMass ScreeningMiddle AgedNetherlandsRisk AssessmentSurveys and Questionnaires

Identifiers

PMID26518623
PMCPMC4628315

What OpenQuestion holds

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LicenceCC BY
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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.