ReviewCurrent cardiology reports2014
Biomarkers of plaque instability.
Review in Current cardiology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 45 citations in OpenAlex.
- Risk prediction of early-onset myocardial infarction using plasma proteomics, conventional risk factors, and polygenic risk score.Nutrition & metabolism · 2025Article
- Review
- Identification of microRNA biomarkers simultaneously expressed in circulating extracellular vesicles and atherosclerotic plaques.Frontiers in cardiovascular medicine · 2024Article
- Article
- Role of Matrix Metalloproteinase-2 in the Development of Atherosclerosis among Patients with Coronary Artery Disease.Mediators of inflammation · 2023Review
- Anti-Apo B-100 Autoantibody is a Marker of Unstable Coronary Plaque.Journal of atherosclerosis and thrombosis · 2021Article
- Increased Plasma Levels of Myosin Heavy Chain 11 Is Associated with Atherosclerosis.Journal of clinical medicine · 2021Article
- Plaque Erosion: A Distinctive Pathological Mechanism of Acute Coronary Syndrome.Frontiers in cardiovascular medicine · 2021Review
- Matrix Metalloproteinases as Biomarkers of Atherosclerotic Plaque Instability.International journal of molecular sciences · 2020Review
- Role of Interleukin-18 and the Thrombus Precursor Protein in Coronary Artery Disease.Arquivos brasileiros de cardiologia · 2020Article
- Expression of TLR4-PTGE2 signaling genes in atherosclerotic carotid plaques and peripheral blood.Molecular biology reports · 2019Article
- Profiling and functional characterization of circulation LncRNAs that are associated with coronary atherosclerotic plaque stability.American journal of translational research · 2019Article
- Article
- Decreased cathepsin K levels in human atherosclerotic plaques are associated with plaque instability.Experimental and therapeutic medicine · 2017Article
- Quantification of temporal changes in calcium score in active atherosclerotic plaque in major vessels byEuropean journal of nuclear medicine and molecular imaging · 2017Article
- Multimodality Imaging of Angiogenesis in a Rabbit Atherosclerotic Model by GEBP11 Peptide Targeted Nanoparticles.Theranostics · 2017Article
- Analysis of gene expression profile identifies potential biomarkers for atherosclerosis.Molecular medicine reports · 2016Article
- AHA classification of coronary and carotid atherosclerotic plaques by grating-based phase-contrast computed tomography.European radiology · 2016Article
- The relationship between preoperative serum cortisol level and the stability of plaque in carotid artery stenosis patients undergoing carotid endarterectomy.Journal of thoracic disease · 2016Article
- The Urotensin II System and Carotid Atherosclerosis: A Role in Vascular Calcification.Frontiers in pharmacology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atherosclerosis is the proximate cause of arterial thrombosis, leading to acute occlusive cardiovascular syndromes. Thrombosis in atherosclerosis usually results from rupture of the fibrous cap of atherosclerotic plaques with a smaller proportion resulting from superficial endothelial erosion. Ruptured plaques are often associated with intimal and adventitial inflammation, increased size of lipid-rich necrotic core with thinned out collagen-depleted fibrous cap, outward remodeling, increased plaque neovascularity, intraplaque hemorrhage, and microcalcification. By inference, non-ruptured plaques with similar compositional features are considered to be at risk for rupture and hence are labeled vulnerable plaques or high-risk plaques. Identification of vulnerable plaques may help in predicting the risk of acute occlusive syndromes and may also allow targeting for aggressive systemic and possibly local therapies. Plaque rupture is believed to result from extracellular matrix (which comprises the protective fibrous cap) dysregulation due to excessive proteolysis in the context of diminished matrix synthesis. Inflammation is believed to play a key role by providing matrix-degrading metalloproteinases and also by inducing death of matrix-synthesizing smooth muscle cells. Systemic markers of inflammation are thus the most logical forms of potential biomarkers which may predict the presence of vulnerable or high-risk plaques. Several studies have suggested the potential prognostic value of a variety of systemic markers, but regrettably, their overall clinical predictive value is modestly incremental at best, especially for individual subjects compared to groups of patients. Nevertheless, continued investigation of reliable, cost-effective biomarkers that predict the presence of a high-risk plaque and future athero-thrombotic cardiovascular events with greater sensitivity and specificity is warranted.
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.