Evidence map›Paper›PMID 28502055›Full record

ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2017

Cardiovascular Risk Stratification in Patients with Metabolic Syndrome Without Diabetes or Cardiovascular Disease: Usefulness of Metabolic Syndrome Severity Score.

Walter Masson, Teo Epstein, Melina Huerín, Lorenzo Martín Lobo, Graciela Molinero, Adriana Angel, Gerardo Masson, Diana Millán, Salvador De Francesca, Laura Vitagliano and 2 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Metabolic Age, an Index Based on Basal Metabolic Rate, Can Predict Individuals That are High Risk of Developing Metabolic Syndrome.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
    Article
  2. Article
  3. Review
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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

12 authors.

Walter MassonCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina. walter.masson@hospitalitaliano.org.ar.ORCID http://orcid.org/0000-0002-5620-6468
Teo EpsteinCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Melina HuerínCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Lorenzo Martín LoboCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Graciela MolineroCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Adriana AngelCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Gerardo MassonCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Diana MillánCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Salvador De FrancescaCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Laura VitaglianoCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Alberto CafferataCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.
Pablo LosadaCouncil of Epidemiology and Cardiovascular Prevention "Dr. Mario Ciruzzi", Argentine Society of Cardiology, Azcuenaga 980, C1115AAD, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe estimated cardiovascular risk determined by the different risk scores, could be heterogeneous in patients with metabolic syndrome without diabetes or vascular disease. This risk stratification could be improved by detecting subclinical carotid atheromatosis.

aimsTo estimate the cardiovascular risk measured by different scores in patients with metabolic syndrome and analyze its association with the presence of carotid plaque.

methodsNon-diabetic patients with metabolic syndrome (Adult Treatment Panel III definition) without cardiovascular disease were enrolled. The Framingham score, the Reynolds score, the new score proposed by the 2013 ACC/AHA Guidelines and the Metabolic Syndrome Severity Calculator were calculated. Prevalence of carotid plaque was determined by ultrasound examination. A Receiver Operating Characteristic analysis was performed.

resultsA total of 238 patients were enrolled. Most patients were stratified as "low risk" by Framingham score (64%) and Reynolds score (70.1%). Using the 2013 ACC/AHA score, 45.3% of the population had a risk ≥7.5%. A significant correlation was found between classic scores but the agreement (concordance) was moderate. The correlation between classical scores and the Metabolic Syndrome Severity Calculator was poor. Overall, the prevalence of carotid plaque was 28.2%. The continuous metabolic syndrome score used in our study showed a good predictive power to detect carotid plaque (area under the curve 0.752).

conclusionIn this population, the calculated cardiovascular risk was heterogenic. The prevalence of carotid plaque was high. The Metabolic Syndrome Severity Calculator showed a good predictive power to detect carotid plaque.

Indexed as

Carotid Intima-Media ThicknessAdultArea Under CurveArgentinaAsymptomatic DiseasesCarotid Artery DiseasesCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsPrevalenceReproducibility of ResultsCardiovascular risk estimationCarotid atherosclerotic plaqueMetabolic syndromeRisk scores

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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.