ArticleClinical nursing research2025
Atherosclerotic Cardiovascular Disease Risk Scores are Associated with Carotid Intima-Media Thickness.
Article in Clinical nursing research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Early predictors of carotid atherosclerosis in patients with type 2 diabetes mellitus.World journal of diabetes · 2025Article
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Authors and funding
5 authors.
Funding
Abstract
Atherosclerotic cardiovascular disease (ASCVD) risk calculators estimate the 10-year incident risk of myocardial infarction (MI), coronary artery disease (CAD) death, or stroke; however, they lack comprehensiveness and accuracy. Carotid intima-media thickness (CIMT) is a surrogate marker that may improve risk estimation acumen. The objective of this study was to derive ASCVD risk scores from historical data and determine whether these risk scores are associated with the history of subclinical CAD and CIMT. This retrospective cross-sectional study used an existing dataset of individuals with prediabetes. Subclinical CAD history was defined as the history of CAD, coronary plaque, or coronary revascularization without a history of MI. The online ASCVD Risk Estimator Plus calculator was used to derive individual risk scores. Chi-square or Fisher's exact tests for categorical variables and ANOVA for continuous variables detected differences among ASCVD risk categories. Linear regression of CIMT measurements on ASCVD risk scores ascertained ASCVD risk scores' utility in predicting CIMT measurements. The sample included 86 participants, 28% with a history of CAD, 60% male, and 95% White. No differences in risk scores existed between participants with or without CAD. Individuals with higher ASCVD risk scores were older (
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