Evidence map›Paper›PMID 33222691›Full record

ArticleCardiovascular diabetology2020

Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort.

María J Guembe, Cesar I Fernandez-Lazaro, Carmen Sayon-Orea, Estefanía Toledo, Conchi Moreno-Iribas, RIVANA Study Investigators

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 7 pooled it
17.6field-weighted citation impact, top 1% of its field
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

180 citing papers in PubMed, 7 syntheses or guidelines pooled it, 308 citations in OpenAlex.

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120 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

María J Guembe *Department of Health, Government of Navarre, Vascular Risk in Navarre Investigation Group, Pamplona, Spain.
Cesar I Fernandez-Lazaro *Department of Health, Government of Navarre, Vascular Risk in Navarre Investigation Group, Pamplona, Spain. fernandezlazaro@usal.es.ORCID http://orcid.org/0000-0003-2366-2528
Carmen Sayon-OreaDepartment of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/Irunlarrea 1, 31008, Pamplona, Spain.
Estefanía ToledoDepartment of Preventive Medicine and Public Health, School of Medicine, University of Navarra, C/Irunlarrea 1, 31008, Pamplona, Spain.
Conchi Moreno-IribasDepartment of Health, Government of Navarre, Vascular Risk in Navarre Investigation Group, Pamplona, Spain.
RIVANA Study Investigators
Government of Spain · ESInstituto de Salud Pública de Navarra · ESNavarre Institute of Health Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate the association of metabolic syndrome (MetS) and its single components with cardiovascular risk and estimated their impact on the prematurity of occurrence of cardiovascular events using rate advancement periods (RAPs).

methodsWe performed prospective analyses among 3976 participants (age range: 35-84, 55% female) in the Vascular Risk in Navarre (RIVANA) Study, a Mediterranean population-based cohort. MetS was defined based on the modified criteria of the American Heart Association/National Heart, Lung, and Blood Institute and the International Diabetes Federation. The primary endpoint was major cardiovascular event (a composite of myocardial infarction, stroke, or mortality from cardiovascular causes). Secondary endpoints were incidence of non-fatal myocardial infarction and non-fatal stroke, cardiovascular mortality, and all-cause mortality. Cox proportional hazards models, adjusted for potential confounders, were fitted to evaluate the association between MetS and its single components at baseline with primary and secondary endpoints.

resultsDuring a median follow-up of 12.8 years (interquartile range, 12.5-13.1), we identified 228 primary endpoint events. MetS was associated with higher risk of incidence of major cardiovascular event, cardiovascular and all-cause mortality, but was neither associated with higher risk of myocardial infarction nor stroke. Compared with participants without MetS, the multivariable hazard ratio (95% confidence interval [CI]) among participants with MetS was 1.32 (1.01-1.74) with RAP (95% CI) of 3.23 years (0.03, 6.42) for major cardiovascular event, 1.64 (1.03-2.60) with RAP of 3.73 years (0.02, 7.45) for cardiovascular mortality, and 1.45 (1.17-1.80) with RAP of 3.24 years (1.21, 5.27) for all-cause mortality. The magnitude of the associations of the single components of MetS was similar than the predicted by MetS. Additionally, for each additional trait of MetS, incidence of major cardiovascular event relatively increased by 22% (1.22, 95% CI 1.09-1.36) with RAP of 2.31 years (0.88, 3.74).

conclusionsMetS was independently associated with CVD risk, cardiovascular and all-cause mortality. Components of the MetS were associated with similar magnitude of increased CVD, which suggests that MetS was not in excess of the level explained by the presence of its single components. Further research should explore the association of different combinations of the components of MetS with CVD.

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesCause of DeathFemaleFollow-Up StudiesHeart Disease Risk FactorsHumansIncidenceMaleMetabolic SyndromeMiddle AgedMyocardial InfarctionPrevalencePrognosisCardiovascular diseaseCardiovascular mortalityCohort studyMediterranean cohortMetabolic syndromeMyocardial infarctionStroke

Identifiers

PMID33222691
PMCPMC7680587
OpenAlexW3108625606

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.