ReviewJournal of geriatric cardiology : JGC2017
Novel biomarkers for cardiovascular risk prediction.
Review in Journal of geriatric cardiology : JGC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 3 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
136 citing papers in PubMed, 3 syntheses or guidelines pooled it, 259 citations in OpenAlex.
- Growth differentiation factor 15 as a potential diagnostic biomarker for rheumatoid arthritis : a systematic review.Bone & joint research · 2025Pooled it
- Pooled it
- Prognostic value of copeptin in patients with acute coronary syndrome: A systematic review and meta-analysis.PloS one · 2020Pooled it
- Trial
- Cardiac biomarkers in patients with prostate cancer and cardiovascular disease receiving gonadotrophin releasing hormone agonist vs antagonist.Prostate cancer and prostatic diseases · 2021Trial
- Cumulative Low-Level Viraemia Is Not Associated with Endothelial Function in Black African Adults With HIV.Journal of acquired immune deficiency syndromes (1999) · 2026Article
- Role of Inflammatory Biomarkers in Peripheral Arterial Disease: A Comprehensive Review of Prognostic and Therapeutic Implications.Biomolecules · 2026Review
- Advances in biomarkers for myocardial injury after non-cardiac surgery.Journal of anesthesia and translational medicine · 2026Review
- Extracellular Vesicles as Biomarkers and Non-Surgical Therapeutics in Cardiovascular Diseases.Journal of clinical medicine · 2026Review
- Cardiovascular Protective Effects and Mechanisms of Action of Cacao: A Comprehensive Review.Reviews in cardiovascular medicine · 2026Review
- Risk prediction models for cardiac rupture after acute myocardial infarction: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Age-related hearing loss in healthy older adults is associated with arterial stiffening and higher aortic systolic blood pressure: potential role of inflammation.Frontiers in aging · 2026Article
- Cardiometabolic indices as predictors of clinical outcomes in palliative care patients.PloS one · 2026Article
- Thrombomodulin and syndecan-1 and association with lung function in liver transplant recipients.Frontiers in immunology · 2026Article
- Non-enhanced CT-based radiomics signature of epicardial adipose tissue for screening coronary heart disease.Frontiers in cardiovascular medicine · 2026Article
- Value of hs-cTnT, sST2, and Lp-PLA2 in the classification of acute coronary syndrome.Experimental and therapeutic medicine · 2025Article
- The Ratio of Red Blood Cell Distribution Width To Serum Albumin and its Association with Cardiovascular and All-Cause Mortality Risk in Diabetic Patients: A Cohort Study Using NHANES Data from 1999 to 2018.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2025Article
- Epidemiology, fibrinogen, clot properties, and cardiovascular disease risk-an African perspective.Research and practice in thrombosis and haemostasis · 2025Article
- Article
- Association of serum copeptin levels with pulmonary complications and heart right ventricular functions in common variable immunodeficiency.BMC immunology · 2025Article
76 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. The primary prevention of CVD is dependent upon the ability to identify high-risk individuals long before the development of overt events. This highlights the need for accurate risk stratification. An increasing number of novel biomarkers have been identified to predict cardiovascular events. Biomarkers play a critical role in the definition, prognostication, and decision-making regarding the management of cardiovascular events. This review focuses on a variety of promising biomarkers that provide diagnostic and prognostic information. The myocardial tissue-specific biomarker cardiac troponin, high-sensitivity assays for cardiac troponin, and heart-type fatty acid binding proteinall help diagnose myocardial infarction (MI) in the early hours following symptoms. Inflammatory markers such as growth differentiation factor-15, high-sensitivity C-reactive protein, fibrinogen, and uric acid predict MI and death. Pregnancy-associated plasma protein A, myeloperoxidase, and matrix metalloproteinases predict the risk of acute coronary syndrome. Lipoprotein-associated phospholipase A2 and secretory phospholipase A2 predict incident and recurrent cardiovascular events. Finally, elevated natriuretic peptides, ST2, endothelin-1, mid-regional-pro-adrenomedullin, copeptin, and galectin-3 have all been well validated to predict death and heart failure following a MI and provide risk stratification information for heart failure. Rapidly developing new areas, such as assessment of micro-RNA, are also explored. All the biomarkers reflect different aspects of the development of atherosclerosis.
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.