ReviewGlobal heart2016
Providing Evidence for Subclinical CVD in Risk Assessment.
Review in Global heart, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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
24 citing papers in PubMed, 40 citations in OpenAlex.
- Sex-specific cardiovascular risk prediction using AI-derived epicardial adipose tissue measurements on CT calcium scoring exams.American journal of preventive cardiology · 2026Article
- Incremental value of the perivascular fat attenuation index surrounding the superior mesenteric artery on non-contrast CT for predicting SMA abnormalities in patients with acute abdominal pain.Frontiers in medicine · 2026Article
- Role of Arterial Stiffness and Carotid Intima-Media Thickness on Subclinical Atherosclerosis and Cardiovascular Risk Assessment.Cardiology and therapy · 2025Review
- Article
- Association Between Cigarette Smoking and Subclinical Markers of Cardiovascular Harm.Journal of the American College of Cardiology · 2025Article
- Pericoronary adipose tissue feature analysis in computed tomography calcium score images in comparison to coronary computed tomography angiography.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Artificial Intelligence Prediction of Cardiovascular Events Using Opportunistic Epicardial Adipose Tissue Assessments From Computed Tomography Calcium Score.JACC. Advances · 2024Article
- Article
- Improved bias and reproducibility of coronary artery calcification features using deconvolution.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Coronary Artery Calcium Scoring in Asymptomatic Patients.HCA healthcare journal of medicine · 2023Review
- Evaluation of Early Biomarkers of Atherosclerosis Associated with Polychlorinated Biphenyl Exposure: AnEnvironmental health perspectives · 2022Article
- Improvement of Coronary Calcium Scores After Bariatric Surgery in People with Severe Obesity.Obesity surgery · 2022Article
- The Multi-Ethnic Study of Atherosclerosis-Calcium Score Improves Statin Treatment Allocation in Asymptomatic Adults.Frontiers in cardiovascular medicine · 2022Article
- Impact of Age and Sex on Subclinical Coronary Atherosclerosis in a Healthy Asian Population.JACC. Asia · 2021Article
- Article
- Derivation of a Coronary Age Calculator Using Traditional Risk Factors and Coronary Artery Calcium: The Multi-Ethnic Study of Atherosclerosis.Journal of the American Heart Association · 2021Observational
- Detection of coronary calcifications with dual energy chest X-rays: clinical evaluation.The international journal of cardiovascular imaging · 2021Article
- Cardiac-CT and cardiac-MR cost-effectiveness: a literature review.La Radiologia medica · 2020Review
- Long-Term All-Cause and Cause-Specific Mortality in Asymptomatic Patients With CAC ≥1,000: Results From the CAC Consortium.JACC. Cardiovascular imaging · 2020Article
- The Evolving View of Coronary Artery Calcium: A Personalized Shared Decision-Making Tool in Primary Prevention.Cardiology research and practice · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
When the MESA (Multi-Ethnic Study of Atherosclerosis) began, the Framingham risk score was the preferred tool for 10-year global coronary heart disease risk assessment; however, the Framingham risk score had limitations including derivation in a homogenous population lacking racial and ethnic diversity and exclusive reliance on traditional risk factors without consideration of most subclinical disease measures. MESA was designed to study the prognostic value of subclinical atherosclerosis and other risk markers in a multiethnic population. In a series of landmark publications, MESA demonstrated that measures of subclinical cardiovascular disease add significant prognostic value to the traditional Framingham risk variables. In head-to-head studies comparing these markers, MESA established that the coronary artery calcium score may be the single best predictor of coronary heart disease risk. Results from MESA have directly influenced recent prevention guidelines including the recommendations on risk assessment and cholesterol-lowering therapy. The MESA study has published its own risk score, which allows for the calculation of 10-year risk of coronary heart disease before and after knowledge of a coronary artery calcium score.
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.