Evidence map›Paper›PMID 26405450›Full record

ArticleARYA atherosclerosis2015

Applying the Framingham risk score for prediction of metabolic syndrome: The Kerman Coronary Artery Disease Risk Study, Iran.

Gholamreza Yousefzadeh, Mostafa Shokoohi, Hamid Najafipour, Mitra Shadkamfarokhi

Abstract read
In one paragraph

Article in ARYA atherosclerosis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

17 citing papers in PubMed.

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  14. Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2017
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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

4 authors.

Gholamreza YousefzadehPhysiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Mostafa ShokoohiResearch Center for Modeling in Health, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Hamid NajafipourPhysiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
Mitra ShadkamfarokhiPhysiology Research Center, Institute of Nouropharmacology, Kerman University of Medical Sciences, Kerman, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been a few studies about the predictability of metabolic syndrome (MetS) based on the Framingham risk score (FRS) as a tool for predicting the risk of 10-years cardiovascular diseases (CVD) in Iranian population. The aim of this study was to compare the risk stratification obtained with the FRS and MetS in a cohort of the Iranian population.

methodsIn this population-based study Kerman Coronary Artery Disease Risk study, Iran, MetS was diagnosed as defined by the revised National Cholesterol Education Program definition criteria (ATPIII) and the FRS was calculated using a computer program, previously reported algorithm.

resultsOverall, the prevalence 10-years risk of CVD for patients with MetS was significantly different with those without MetS (74.3 vs. 86.4% for low-risk patients, 18.1 vs. 12.3% for intermediate-risk people, and 7.6 vs. 1.3% for high-risk individuals) (P < 0.001). The frequency of intermediate-risk and high-risk for 10-year CVD in men with MetS (39.5 and 18.3%, respectively) was considerably higher than women with MetS (3.2 and 0.1%, respectively). Using multiple logistic regression, the odds ratio of MetS in intermediate-risk and high-risk FRS group was 1.7 and 6.7, respectively (P < 0.001).

conclusionSignificant association between the presence of MetS and high risk for CVD based on FRS was revealed in both men and women indicating a good concordance between MetS and FRS in predicting the risk of CVDs. However, the odds ratio of the development of risk of cardiovascular events among women was higher than men with MetS.

Indexed as

Cardiovascular DiseaseFramingham Risk ScoreIschemic Heart DiseaseMetabolic Syndrome

Identifiers

PMID26405450
PMCPMC4568190

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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.