Trial reportBMC cardiovascular disorders2011
Improving interMediAte risk management. MARK study.
Trial report in BMC cardiovascular disorders, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01428934 (Improving Intermediate Risk Management. MARK Study), which is not on this map. Cited by 24 papers, 2 of them syntheses 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.
Improving Intermediate Risk Management. MARK Study
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.
- Pooled it
- Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjects.Journal of the American College of Cardiology · 2014Pooled it
- Capacity adiposity indices to identify metabolic syndrome in subjects with intermediate cardiovascular risk (MARK study).PloS one · 2019Trial
- Glycemic markers and relation with arterial stiffness in Caucasian subjects of the MARK study.PloS one · 2017Trial
- Association between markers of glycemia and carotid intima-media thickness: the MARK study.BMC cardiovascular disorders · 2016Trial
- Trial
- Abdominal aortic tortuosity is not associated with other vascular peripheral pathologies or classical cardiovascular risk factors.Scientific reports · 2026Article
- Urinary Ferritin: A Non-inflammatory Iron Marker Linked to Insulin Resistance and Metabolic Syndrome Components.Journal of obesity & metabolic syndrome · 2026Article
- Influence of Adherence to the Mediterranean Diet on Vascular Health and Healthy Aging in Women: Assessment Using CAVI.Nutrients · 2025Article
- Article
- The Relationship between the Mediterranean Diet and Vascular Stiffness, Metabolic Syndrome, and Its Components in People over 65 Years of Age.Nutrients · 2024Article
- Relationship between the Mediterranean Diet and Vascular Function in Subjects with and without Increased Insulin Resistance.Nutrients · 2024Article
- Article
- Association of physical activity with vascular aging in a population with intermediate cardiovascular risk, analysis by sex: MARK study.Biology of sex differences · 2022Article
- Article
- Article
- Associations Between Systolic Interarm Differences in Blood Pressure and Cardiovascular Disease Outcomes and Mortality: Individual Participant Data Meta-Analysis, Development and Validation of a Prognostic Algorithm: The INTERPRESS-IPD Collaboration.Hypertension (Dallas, Tex. : 1979) · 2021Article
- A body shape index and vascular structure and function in Spanish adults (MARK study): A cross-sectional study.Medicine · 2018Observational
- Adiposity measures and arterial stiffness in primary care: the MARK prospective observational study.BMJ open · 2017Observational
- Diet quality and carotid atherosclerosis in intermediate cardiovascular risk individuals.Nutrition journal · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCardiovascular risk functions fail to identify more than 50% of patients who develop cardiovascular disease. This is especially evident in the intermediate-risk patients in which clinical management becomes difficult. Our purpose is to analyze if ankle-brachial index (ABI), measures of arterial stiffness, postprandial glucose, glycosylated hemoglobin, self-measured blood pressure and presence of comorbidity are independently associated to incidence of vascular events and whether they can improve the predictive capacity of current risk equations in the intermediate-risk population. METHODS/
designThis project involves 3 groups belonging to REDIAPP (RETICS RD06/0018) from 3 Spanish regions. We will recruit a multicenter cohort of 2688 patients at intermediate risk (coronary risk between 5 and 15% or vascular death risk between 3-5% over 10 years) and no history of atherosclerotic disease, selected at random. We will record socio-demographic data, information on diet, physical activity, comorbidity and intermittent claudication. We will measure ABI, pulse wave velocity and cardio ankle vascular index at rest and after a light intensity exercise. Blood pressure and anthropometric data will be also recorded. We will also quantify lipids, glucose and glycosylated hemoglobin in a fasting blood sample and postprandial capillary glucose. Eighteen months after the recruitment, patients will be followed up to determine the incidence of vascular events (later follow-ups are planned at 5 and 10 years). We will analyze whether the new proposed risk factors contribute to improve the risk functions based on classic risk factors. DISCUSSION: Primary prevention of cardiovascular diseases is a priority in public health policy of developed and developing countries. The fundamental strategy consists in identifying people in a high risk situation in which preventive measures are effective and efficient. Improvement of these predictions in our country will have an immediate, clinical and welfare impact and a short term public health effect.
trial registrationClinical Trials.gov Identifier: NCT01428934.
Indexed as
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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.