ArticleDiabetology & metabolic syndrome2017
Arterial stiffness and its association with clustering of metabolic syndrome risk factors.
Article in Diabetology & metabolic syndrome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Mapping arterial stiffness metabolic biomarkers: a bibliometric analysis.Frontiers in medicine · 2025Pooled it
- Speckle-tracking carotid strain ultrasonography for assessment of vascular dysfunction in metabolic syndrome: a cross-sectional study.BMC medical imaging · 2026Article
- Impact of metabolic syndrome on the progression of arterial stiffness in people of African ancestry.African health sciences · 2026Article
- Metabolic Syndrome Clusters and Arterial Stiffness: Unraveling Early Predictors of Cardiovascular Risk in a Follow-Up Study.Journal of cardiovascular development and disease · 2025Article
- Crosstalk Between Metabolic Biomarkers and Pulse Wave Analysis in Hypertensive Patients.Biomedicines · 2025Article
- Association between Metabolic Syndrome Score and Subclinical Atherosclerosis.Reviews in cardiovascular medicine · 2025Article
- Differences of Sedentary Behavior, Physical Activity, and Metabolic Syndrome Severity Among Metabolic Syndrome Clusters.American journal of lifestyle medicine · 2025Article
- Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease.Nutrition & metabolism · 2024Article
- Age-Specific Approach to Arterial Stiffness Prediction in Apparently Healthy Patients.Journal of clinical medicine research · 2024Article
- MRI-Measured Pancreatic Fat Correlates with Increased Arterial Stiffness in Patients Who are Overweight and Obese.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Interactions between Metabolic Syndrome, MASLD, and Arterial Stiffening: A Single-Center Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2023Article
- Arterial stiffness and the non-dipping pattern in type 1 diabetes males with and without erectile dysfunction.Scientific reports · 2023Article
- Article
- Overview and New Insights into the Metabolic Syndrome: Risk Factors and Emerging Variables in the Development of Type 2 Diabetes and Cerebrocardiovascular Disease.Medicina (Kaunas, Lithuania) · 2023Review
- Pharmacological treatment of hypertension guided by peripheral or central blood pressure: a comparison between the two strategies.Frontiers in cardiovascular medicine · 2023Article
- Subendocardial Viability Ratio Predictive Value for Cardiovascular Risk in Hypertensive Patients.Medicina (Kaunas, Lithuania) · 2022Article
- Review
- Article
- Arterial Stiffness Assessment by Pulse Wave Velocity in Patients with Metabolic Syndrome and Its Components: Is It a Useful Tool in Clinical Practice?International journal of environmental research and public health · 2022Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (MetS) is associated with structural and functional vascular abnormalities, which may lead to increased arterial stiffness, more frequent cardiovascular events and higher mortality. However, the role played by clustering of risk factors and the combining pattern of MetS risk factors and their association with the arterial stiffness have yet to be fully understood. Age, hypertension and diabetes mellitus seem to be strongly associated with increased pulse wave velocity (PWV). This study aimed at determining the clustering and combining pattern of MetS risk factors and their association with the arterial stiffness in non-diabetic and non-hypertensive patients.
methodsRecently diagnosed and untreated patients with MetS (n = 64, 49 ± 8 year, 32 ± 4 kg/m
resultsPatients with MetS had increased PWV when compared to Control (7.8 ± 1.1 vs. 7.0 ± 0.5 m/s, p < 0.001). In multivariate analysis, the variables that remained as predictors of PWV were age (β = 0.450, p < 0.001), systolic blood pressure (β = 0.211, p = 0.023) and triglycerides (β = 0.212, p = 0.037). The increased number of risk factors reflected in a progressive increase in PWV. When adjusted to systolic blood pressure, PWV was greater in the group with 5 risk factors when compared to the group with 3 risk factors and Control (8.5 ± 0.4 vs. 7.5 ± 0.2, p = 0.011 and 7.2 ± 0.3 m/s, p = 0.012). Similarly, the 4 risk factors group had higher PWV than the Control (7.9 ± 0.2 vs. 7.2 ± 0.3, p = 0.047).
conclusionsThe number of risk factors seems to increase arterial stiffness. Notably, besides age and increased systolic blood pressure, alterations in the triglycerides worsened the stiffness of large vessels, emphasizing the importance in addressing this risk factor in MetS patients.
Indexed as
Identifiers
What OpenQuestion holds
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.