ReviewBiomolecules2018
Nontraditional Cardiovascular Biomarkers and Risk Factors: Rationale and Future Perspectives.
Review in Biomolecules, 2018. 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 14 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
14 citing papers in PubMed, 23 citations in OpenAlex.
- Why Are Internal Mammary (Thoracic) Arteries Less Prone to Developing Atherosclerosis Compared to Coronary Arteries? Do Gut Microbiota Play a Role? A Narrative Review.International journal of molecular sciences · 2025Review
- Butyrate Produced by Gut Microbiota Regulates Atherosclerosis: A Narrative Review of the Latest Findings.International journal of molecular sciences · 2025Review
- Interplay between Vitamin D and Sphingolipids in Cardiometabolic Diseases.International journal of molecular sciences · 2023Review
- Observational
- Association between total type I collagen N-terminal propeptide and coronary artery disease risk score in the general Japanese population.International journal of cardiology. Heart & vasculature · 2022Article
- Editorial: Relationship Between Cardiovascular Disease and Other Chronic Conditions.Frontiers in cardiovascular medicine · 2022Article
- Hypovitaminosis D and Low T3 Syndrome: A Link for Therapeutic Challenges in Patients with Acute Myocardial Infarction.Journal of clinical medicine · 2021Article
- The Association between Occupational Categories and Incidence of Cardiovascular Events: A Cohort Study in Iranian Male Population.The international journal of occupational and environmental medicine · 2020Article
- Brain-Derived Neurotrophic Factor during Oral Glucose Tolerance Test Predicts Cardiovascular Outcomes.International journal of molecular sciences · 2020Observational
- Cardio-Renal Biomarker Soluble Urokinase-Type Plasminogen Activator Receptor Is Associated With Cardiovascular Death and Myocardial Infarction in Patients With Coronary Artery Disease Independent of Troponin, C-Reactive Protein, and Renal Function.Journal of the American Heart Association · 2020Article
- Psoriasis and Psoriatic Arthritis Cardiovascular Disease Endotypes Identified by Red Blood Cell Distribution Width and Mean Platelet Volume.Journal of clinical medicine · 2020Article
- Correction: Traghella, I.; et al. Nontraditional Cardiovascular Biomarkers and Risk Factors: Rationale and Future Perspectives. Biomolecules 2018, 8, 40.Biomolecules · 2018Article
- Article
- Adverse Outcome Prediction of Iron Deficiency in Patients with Acute Coronary Syndrome.Biomolecules · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The primary prevention of cardiovascular (CV) disease depends on the capacity to identify subjects at higher risk long before the occurrence of CV clinical manifestations. Traditional risk factors do not cover fully prediction of individual risk. Moreover, there is an area of gray for patients at intermediate CV risk, which offers wide margins of improvement. These observations highlight the need for new additive tools for a more accurate risk stratification. An increasing number of candidate biomarkers have been identified to predict CV risk and events, although they generally give only a moderate increase when added to currently available predictive scores. The approach utilizing a relative small number of biomarkers in multiple combinations, but only weakly related to each other or unrelated, thus belonging to independent-pathways, and so able to catch the multidimensional characteristic of atherosclerosis, appears promising. We discuss vitamin D and bone turnover biomarkers, hepatitis C virus, and psycho-emotional factors that may reflect alternative pathways over those generally considered for atherosclerosis (e.g., aspects directly related to inflammation and thrombosis). These new biomarkers could facilitate a more accurate assessment of CV risk stratification if incorporated in the current risk assessment algorithms.
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.