ArticleHeart (British Cardiac Society)2018
Sex differences in impact of coronary artery calcification to predict coronary artery disease.
Article in Heart (British Cardiac Society), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Quantitative evaluation of computational fluid dynamics application development in the cardiovascular field through literature retrieval and bibliometric analysis.Biomedical engineering online · 2026Review
- Sex-specific machine learning models for carotid plaque prediction in individuals with fatty liver disease: a cross-sectional study.BMJ open · 2026Article
- Cardiovascular imaging for the detection of asymptomatic coronary artery disease: an updated systematic review of clinical practice guidelines.European heart journal. Imaging methods and practice · 2026Article
- Role of Coronary Artery Calcium Score CT in Risk Stratification of Asymptomatic Individuals.Journal of cardiovascular development and disease · 2025Review
- Long-term Major Adverse Cardiac Event Prediction by Computed Tomography-derived Plaque Measures and Clinical Parameters Using Machine Learning.Internal medicine (Tokyo, Japan) · 2025Article
- Atherosclerotic Cardiovascular Disease Risk Prediction Models in China, Japan, and Korea: Implications for East Asians?JACC. Asia · 2025Review
- Sex differences in features of atherosclerotic plaques as revealed by various imaging techniques: historical review.Frontiers in physiology · 2025Review
- Clinical impact of cardiovascular calcifications on stroke incidence in primary prevention: analysis in NADESICO study.Heart and vessels · 2024Article
- The association between coronary artery calcification and vectorcardiography in mechanically ventilated COVID-19 patients: the Maastricht Intensive Care COVID cohort.Intensive care medicine experimental · 2024Article
- Combination of coronary CT angiography, FFRClinical cardiology · 2023Article
- Sex Differences in Two International Guidelines for Assessing Obstructive Coronary Artery Disease in Symptomatic Outpatients by Coronary Computed Tomographic Angiography.Reviews in cardiovascular medicine · 2023Article
- Aortic valve and aortic root calcifications for predicting major adverse cardiovascular events: NADESICO study.Heart and vessels · 2023Article
- Development and validation of ischemia risk scores.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Machine learning to predict abnormal myocardial perfusion from pre-test features.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022Article
- Sex-specific performance of the ASCVD pooled cohort equation risk calculator as a correlate of coronary artery calcium in Kampala, Uganda.International journal of cardiology. Cardiovascular risk and prevention · 2022Article
- Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine.Journal of personalized medicine · 2022Review
- Automated coronary artery calcium scoring using nested U-Net and focal loss.Computational and structural biotechnology journal · 2022Article
- Sex differences in clinical outcomes after rotational atherectomy of calcified coronary stenoses: from multicenter registry.American journal of cardiovascular disease · 2021Article
- Subclinical macro and microvascular disease is differently associated with depressive symptoms in men and women: Findings from the SABRE population-based study.Atherosclerosis · 2020Article
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Authors and funding
19 authors.
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Abstract
objectiveTo assess sex-specific differences regarding use of conventional risks and coronary artery calcification (CAC) to detect coronary artery disease (CAD) using coronary CT angiography (CCTA).
methodsThe Nationwide Gender-specific Atherosclerosis Determinants Estimation and Ischemic Cardiovascular Disease Prospective Cohort study is a prospective, multicentre, nationwide cohort study. Candidates with suspected CAD aged 50-74 years enrolled from 2008 to 2012. The outcome was obstructive CAD defined as any stenosis ≥50% by CCTA. We constructed logistic regression models for obstructive CAD adjusted for conventional risks (clinical model) and CAC score. Improvement in discrimination beyond risks was assessed by C-statistic; net reclassification index (NRI) for CAD probability of low (<30%), intermediate (30%-60%) and high (≥60%); and risk stratification capacity.
resultsAmong 991 patients (456 women, 535 men; 65.2 vs 64.4 years old), women had lower CAC scores (median, 4 vs 60) and lower CAD prevalence (21.7% vs 37.0%) than men. CAC significantly improved model discrimination compared with clinical model in both sexes (0.66-0.79 in women vs 0.61-0.83 in men). The NRI for women was 0.33, which was much lower than that for men (0.71). Adding CAC to clinical model had a larger benefit in terms of moving an additional 43.3% of men to the most determinant categories (high or low risk) compared with -1.4% of women.
conclusionsThe addition of CAC to a prediction model based on conventional variables significantly improved the classification of risk in suspected patients with CAD, with sex differences influencing the predictive ability. TRIAL REGISTRATION NUMBER: UMIN-CTR Clinical Trial: UMIN000001577.
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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.