ReviewJournal of lipids2015
Emerging risk biomarkers in cardiovascular diseases and disorders.
Review in Journal of lipids, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers, 6 of them syntheses that pooled it.
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
148 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Prediction of Emerging CVD Biomarkers in Population Exposed to Arsenic and Their Associated Risk Factors in Humans by Systematic Review and Meta-Analysis.Biological trace element research · 2026Pooled it
- Systematic review and meta‑analysis of factors predicting postoperative lung function after lung cancer resection.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024Pooled it
- HDL-cholesterol concentration and its association with coronary artery calcification: a systematic review and meta-analysis.Lipids in health and disease · 2023Pooled it
- Replication and mediation of the association between the metabolome and clinical markers of metabolic health in an adolescent cohort study.Scientific reports · 2023Pooled it
- Association between the ABCA1 (R219K) polymorphism and lipid profiles: a meta-analysis.Scientific reports · 2021Pooled it
- Relationship between Hyperlipidemia, Cardiovascular Disease and Stroke: A Systematic Review.Current cardiology reviews · 2021Pooled it
- Trial
- A Pilot Study on the Effects of l-Carnitine and Trimethylamine-N-Oxide on Platelet Mitochondrial DNA Methylation and CVD Biomarkers in Aged Women.International journal of molecular sciences · 2020Trial
- Resveratrol Supplementation in Schizophrenia Patients: A Randomized Clinical Trial Evaluating Serum Glucose and Cardiovascular Risk Factors.Nutrients · 2016Trial
- Effect of Tai Chi Softball on Health-Related Outcomes in Elderly Men.American journal of men's healthTrial
- What Is a Clinically Meaningful Change in Diabetes Distress? Findings for Diabetes Care and Research From the SFDT1 Cohort.Diabetes, obesity & metabolism · 2026Article
- A pragmatic clinical risk score for adverse outcomes in hypertrophic cardiomyopathy using routine laboratory and bedside variables.BMC cardiovascular disorders · 2026Article
- Risk prediction and prevention in patients with advanced subclinical atherosclerosis.BMC cardiovascular disorders · 2026Review
- Article
- Physiological Regulation of Nutritional and Metabolic Biomarkers in Obesity: Implications for Precision Nutrition.Nutrients · 2026Review
- Effect of Calafate (Journal of nutrition and metabolism · 2026Article
- Association of Composite Metabolic Indices and Oxidative Stress Biomarkers with Coronary Atherosclerosis Detected by CT Angiography in Premenopausal Women with Metabolic Syndrome.Vascular health and risk management · 2026Article
- Metabolomic signatures connect and mediate sedentary time-driven mortality risk in patients with cardiovascular disease.Frontiers in sports and active living · 2026Article
- Prognostic value of CTI for major adverse cardiovascular events in patients With ST-elevation myocardial infarction after primary percutaneous coronary intervention.Frontiers in cardiovascular medicine · 2026Article
- New sights of tumor-specific growth factor (TSGF) in T2DM patients with coronary artery disease.BMC endocrine disorders · 2025Article
88 more citing papers are in PubMed but not listed here.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Present review article highlights various cardiovascular risk prediction biomarkers by incorporating both traditional risk factors to be used as diagnostic markers and recent technologically generated diagnostic and therapeutic markers. This paper explains traditional biomarkers such as lipid profile, glucose, and hormone level and physiological biomarkers based on measurement of levels of important biomolecules such as serum ferritin, triglyceride to HDLp (high density lipoproteins) ratio, lipophorin-cholesterol ratio, lipid-lipophorin ratio, LDL cholesterol level, HDLp and apolipoprotein levels, lipophorins and LTPs ratio, sphingolipids, Omega-3 Index, and ST2 level. In addition, immunohistochemical, oxidative stress, inflammatory, anatomical, imaging, genetic, and therapeutic biomarkers have been explained in detail with their investigational specifications. Many of these biomarkers, alone or in combination, can play important role in prediction of risks, its types, and status of morbidity. As emerging risks are found to be affiliated with minor and microlevel factors and its diagnosis at an earlier stage could find CVD, hence, there is an urgent need of new more authentic, appropriate, and reliable diagnostic and therapeutic markers to confirm disease well in time to start the clinical aid to the patients. Present review aims to discuss new emerging biomarkers that could facilitate more authentic and fast diagnosis of CVDs, HF (heart failures), and various lipid abnormalities and disorders in the future.
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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.