ReviewInternational journal of molecular sciences2018
Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 24 citations in OpenAlex.
- Quantitative Analysis of Flavonols and Their Glycosides and Gastrointestinal Transformation of Flavonol Glycosides in Yinxing Mihuan Oral Solution.Journal of analytical methods in chemistry · 2026Article
- Developing Theoretical Models for Atherosclerotic Lesions: A Methodological Approach Using Interdisciplinary Insights.Life (Basel, Switzerland) · 2024Article
- Article
- The role of long non-coding RNA ANRIL in the development of atherosclerosis.Non-coding RNA research · 2022Review
- Alu Deletions inInternational journal of molecular sciences · 2022Article
- Perspectives on Complexity, Chaos and Thermodynamics in Environmental Pathology.International journal of environmental research and public health · 2021Article
- Emotional Dysregulation Mechanisms in Psychosomatic Chronic Diseases Revealed by the Instability Coefficient.Brain sciences · 2020Article
- DICER1 in the Pathogenesis of Age-related Macular Degeneration (AMD) -Aging and disease · 2020Review
- A novel plasma lncRNA ENST00000416361 is upregulated in coronary artery disease and is related to inflammation and lipid metabolism.Molecular medicine reports · 2020Article
- [Research advance of ANRIL on atherosclerosis by regulating cell proliferation and apoptosis].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2020Review
- TypeTE: a tool to genotype mobile element insertions from whole genome resequencing data.Nucleic acids research · 2020Article
- Unveiling ncRNA regulatory axes in atherosclerosis progression.Clinical and translational medicine · 2020Review
- Application of Chaotic Laws to Improve Haplotype Assembly Using Chaos Game Representation.Scientific reports · 2019Article
- Article
- Analytical Value of Cell-Free DNA Based onFrontiers in psychiatry · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atherosclerosis (ATH) and coronary artery disease (CAD) are chronic inflammatory diseases with an important genetic background; they derive from the cumulative effect of multiple common risk alleles, most of which are located in genomic noncoding regions. These complex diseases behave as nonlinear dynamical systems that show a high dependence on their initial conditions; thus, long-term predictions of disease progression are unreliable. One likely possibility is that the nonlinear nature of ATH could be dependent on nonlinear correlations in the structure of the human genome. In this review, we show how chaos theory analysis has highlighted genomic regions that have shared specific structural constraints, which could have a role in ATH progression. These regions were shown to be enriched with repetitive sequences of the
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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.