ArticleJournal of cardiovascular development and disease2023
The Association between Cardiovascular Risk Factors and Carotid Intima-Media Thickness in 42,726 Adults in UK Biobank: A Cross-Sectional Study.
Article in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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
2 citing papers in PubMed.
- Clinical-Metabolic Risk Phenotypes and Carotid Plaque Burden Among Community-Dwelling Individuals at High Cardiovascular Risk: An Exploratory Cross-Sectional Study.Journal of cardiovascular development and disease · 2026Article
- Plasma proteomics and carotid intima-media thickness in the UK biobank cohort.Frontiers in cardiovascular medicine · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundTraditional modifiable cardiovascular risk factors, such as high blood pressure, have long been positively correlated with high carotid intima-media thickness (cIMT). However, traditional cardiovascular risk factors made a minor contribution to cIMT variance, meaning that other markers may be regarded as independent markers for increasing cIMT.
aimsTo investigate the simple demographic patterns of carotid intima-media thickness (cIMT) in the UK Biobank and to identify which upstream cardiovascular disease (CVD) risk factors are independently associated with cIMT. METHODS AND
resultsA cross-sectional-based study of healthy middle-aged people recruited in the UK between 2006 and 2010 (
resultsThis study showed that the cardiovascular risk profile generally worsened across the cIMT quantiles from lowest to highest. The lowest cIMT quartile was defined as having a mean cIMT < 588 µm, while the highest cIMT quartile was defined as having a mean cIMT > 748 µm. Specifically, the highest cIMT quantile group had a worse CVD risk factors profile compared to the lowest cIMT quantile group. It was found that, for every one SD increase in age and systolic blood pressure, the mean cIMT increased by 0.357 SD and 0.115 SD, respectively.
conclusionSystolic blood pressure and age were the strongest independent risk factors for a high cIMT value compared to other risk factors.
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