SynthesisJournal of the American Heart Association2022
Racial and Ethnic Differences in the Association Between Classical Cardiovascular Risk Factors and Common Carotid Intima-Media Thickness: An Individual Participant Data Meta-Analysis.
Synthesis in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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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.
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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.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
- Beyond blood pressure: carotid intima-media thickness uncovers subclinical atherosclerosis in normotensive adults with type 2 diabetes in Sub-Saharan Africa.Cardiovascular diabetology. Endocrinology reports · 2026Article
- Hemodynamic factors primarily impact on carotid IMT in young adults of African Ancestry in Sub-Saharan Africa.Journal of human hypertension · 2026Article
- Burden of Unfair Treatment and Subclinical Atherosclerotic Risk Among Black Adults: The Moderating Role of Religious Coping.Journal of the American Heart Association · 2025Article
- Role of Arterial Stiffness and Carotid Intima-Media Thickness on Subclinical Atherosclerosis and Cardiovascular Risk Assessment.Cardiology and therapy · 2025Review
- Urban imperviousness and carotid intima-medial thickness: Evidence from the Coronary Artery Risk Development in Young Adults (CARDIA) study.The Science of the total environment · 2025Article
- Cardiometabolic Aspects of Congenital Adrenal Hyperplasia.Endocrine reviews · 2025Review
- Discrimination, Smoking, and Cardiovascular Disease Risk: A Moderated Mediation Analysis With MESA.Journal of the American Heart Association · 2024Article
- 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association.Circulation · 2024Review
- Ethnic differences in the effects of apolipoprotein E ɛ4 and vascular risk factors on accelerated brain aging.Brain communications · 2024Article
- Structural and social determinants of health: The multi-ethnic study of atherosclerosis.PloS one · 2024Article
- Diagnostic potential of TSH to HDL cholesterol ratio in vulnerable carotid plaque identification.Frontiers in cardiovascular medicine · 2024Article
- Ethnic Differences in Carotid Intima-Media Thickness and Plaque Presence: The HELIUS Study.Cerebrovascular diseases (Basel, Switzerland) · 2024Article
- Increased circulating FGF21 level predicts the burden of metabolic demands and risk of vascular diseases in adults with type 2 diabetes.BMC endocrine disorders · 2023Article
- Identifying Differences: A Key Step in Precision Cardiovascular Disease Prevention.Journal of the American Heart Association · 2022Article
- Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent revisited study (SABRE).Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
27 authors at 19 institutions in 11 countries.
Funding
Abstract
Background The major risk factors for atherosclerotic cardiovascular disease differ by race or ethnicity but have largely been defined using populations of European ancestry. Despite the rising prevalence of cardiovascular disease in Africa there are few related data from African populations. Therefore, we compared the association of established cardiovascular risk factors with carotid-intima media thickness (CIMT), a subclinical marker of atherosclerosis, between African, African American, Asian, European, and Hispanic populations. Methods and Results Cross-sectional analyses of 34 025 men and women drawn from 15 cohorts in Africa, Asia, Europe, and North America were undertaken. Classical cardiovascular risk factors were assessed and CIMT measured using B-mode ultrasound. Ethnic differences in the association of established cardiovascular risk factors with CIMT were determined using a 2-stage individual participant data meta-analysis with beta coefficients expressed as a percentage using the White population as the reference group. CIMT adjusted for risk factors was the greatest among African American populations followed by Asian, European, and Hispanic populations with African populations having the lowest mean CIMT. In all racial or ethnic groups, men had higher CIMT levels compared with women. Age, sex, body mass index, and systolic blood pressure had a significant positive association with CIMT in all races and ethnicities at varying magnitudes. When compared with European populations, the association of age, sex, and systolic blood pressure with CIMT was weaker in all races and ethnicities. Smoking (beta coefficient, 0.39; 95% CI, 0.09-0.70), body mass index (beta coefficient, 0.05; 95% CI, 0.01-0.08) and glucose (beta coefficient, 0.13; 95% CI, 0.06-0.19) had the strongest positive association with CIMT in the Asian population when compared with all other racial and ethnic groups. High-density lipoprotein-cholesterol had significant protective effects in African American (beta coefficient, -0.31; 95% CI, -0.42 to -0.21) and African (beta coefficient, -0.26; 95% CI, -0.31 to -0.19) populations only. Conclusions The strength of association between established cardiovascular risk factors and CIMT differed across the racial or ethnic groups and may be due to lifestyle risk factors and genetics. These differences have implications for race- ethnicity-specific primary prevention strategies and also give insights into the differential contribution of risk factors to the pathogenesis of cardiovascular disease. The greatest burden of subclinical atherosclerosis in African American individuals warrants further investigations.
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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 Socratic graph.