ReviewMetabolism: clinical and experimental2015
Biomarkers of cardiovascular disease risk in women.
Review in Metabolism: clinical and experimental, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 64 citations in OpenAlex.
- Associations of High-Sensitivity Cardiac Troponin and N-Terminal Pro-B-Type Natriuretic Peptide With Echocardiographic Features in Patients With Hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Different Aspects of Letrozole Effect on Metabolism, Bone Health, Oxidative Stress and Prostate in the Intact Adult Dog.Veterinary medicine and science · 2025Article
- Long-term prognostic value of LDL-C, HDL-C, lp(a) and TG levels on cardiovascular disease incidence, by body weight status, dietary habits and lipid-lowering treatment: the ATTICA epidemiological cohort study (2002-2012).Lipids in health and disease · 2022Article
- Towards Multiplexed and Multimodal Biosensor Platforms in Real-Time Monitoring of Metabolic Disorders.Sensors (Basel, Switzerland) · 2022Review
- The influence of inflammation on cardiovascular disease in women.Frontiers in global women's health · 2022Review
- Implications of the ACC/AHA risk score for prediction of heart failure: the Rotterdam Study.BMC medicine · 2021Article
- Observational
- Sex-Related Differences of the Effect of Lipoproteins and Apolipoproteins on 10-Year Cardiovascular Disease Risk; Insights from the ATTICA Study (2002-2012).Molecules (Basel, Switzerland) · 2020Article
- Distinct Subgroups in Hypertrophic Cardiomyopathy in the NHLBI HCM Registry.Journal of the American College of Cardiology · 2019Observational
- Sex-Specific Cut-Offs for High-Sensitivity Cardiac Troponin: Is Less More?Cardiovascular therapeutics · 2019Review
- Sex Differences in Outcomes after Stroke in Patients with Diabetes in Ontario, Canada.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2018Article
- 2-Dimensional Speckle Tracking Echocardiography predicts severe coronary artery disease in women with normal left ventricular function: a case-control study.BMC cardiovascular disorders · 2017Article
- Integrated electrokinetically driven microfluidic devices with pH-mediated solid-phase extraction coupled to microchip electrophoresis for preterm birth biomarkers.Electrophoresis · 2017Article
- High intensity interval and moderate continuous cycle training in a physical education programme improves health-related fitness in young females.Biology of sport · 2016Article
- Computerized tomography measured liver fat is associated with low levels of N-terminal pro-brain natriuretic protein (NT-proBNP). Multi-Ethnic Study of Atherosclerosis.Metabolism: clinical and experimental · 2016Observational
- Cohort profile: Women's Healthy Ageing Project (WHAP) - a longitudinal prospective study of Australian women since 1990.Women's midlife health · 2016Article
- The Discovery of Novel Genomic, Transcriptomic, and Proteomic Biomarkers in Cardiovascular and Peripheral Vascular Disease: The State of the Art.BioMed research international · 2016Review
- New and emerging biomarkers in cardiovascular disease.Current diabetes reports · 2015Review
- The association between N-terminal pro B-type natriuretic peptide and lipoprotein particle concentration plateaus at higher N-terminal pro B-type natriuretic peptide values: Multi-Ethnic Study on Atherosclerosis.Metabolism: clinical and experimental · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Cardiovascular disease (CVD), including coronary heart disease and stroke, is the leading cause of death among U.S. women and men. Established cardiovascular risk factors such as smoking, diabetes, hypertension, and elevated total cholesterol, and risk prediction models based on such factors, perform well but do not perfectly predict future risk of CVD. Thus, there has been much recent interest among cardiovascular researchers in identifying novel biomarkers to aid in risk prediction. Such markers include alternative lipids, B-type natriuretic peptides, high-sensitivity troponin, coronary artery calcium, and genetic markers. This article reviews the role of traditional cardiovascular risk factors, risk prediction tools, and selected novel biomarkers and other exposures in predicting risk of developing CVD in women. The predictive role of novel cardiovascular biomarkers for women in primary prevention settings requires additional study, as does the diagnostic and prognostic utility of cardiac troponins for acute coronary syndromes in clinical settings. Sex differences in the clinical expression and physiology of metabolic syndrome may have implications for cardiovascular outcomes. Consideration of exposures that are unique to, or more prevalent in, women may also help to refine cardiovascular risk estimates in this group.
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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.