ReviewFrontiers in physiology2016
Personalized Cardiovascular Disease Prediction and Treatment-A Review of Existing Strategies and Novel Systems Medicine Tools.
Review in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 54 citations in OpenAlex.
- Trial
- Risk prediction and prevention in patients with advanced subclinical atherosclerosis.BMC cardiovascular disorders · 2026Review
- Evaluating Cardiovascular Risk Factors Among Healthcare Professionals in Iran.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Long-Term Impact of HEAT Educational Intervention in the Emergency Department in Karachi, Pakistan.Annals of global health · 2025Article
- Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023Article
- Towards applications of genome-scale metabolic model-based approaches in designing synthetic microbial communities.Quantitative biology (Beijing, China) · 2023Review
- Improvement in the diagnosis and practices of emergency healthcare providers for heat emergencies after HEAT (heat emergency awareness & treatment) an educational intervention: a multicenter quasi-experimental study.BMC emergency medicine · 2023Article
- Cardiovascular health research priorities in the United Arab Emirates.Frontiers in public health · 2023Article
- Recent advances in nonalcoholic fatty liver disease metabolomics.Clinical and molecular hepatology · 2021Review
- Network Medicine: A Clinical Approach for Precision Medicine and Personalized Therapy in Coronary Heart Disease.Journal of atherosclerosis and thrombosis · 2020Review
- Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine.Frontiers in bioengineering and biotechnology · 2020Review
- Glial cells influence cardiac permittivity as evidenced through in vitro and in silico models.Biofabrication · 2019Article
- Novel Biomarkers of Early Atherosclerotic Changes for Personalised Prevention of Cardiovascular Disease in Cervical Cancer and Human Papillomavirus Infection.International journal of molecular sciences · 2019Review
- Synthetic consortia of nanobody-coupled and formatted bacteria for prophylaxis and therapy interventions targeting microbiome dysbiosis-associated diseases and co-morbidities.Microbial biotechnology · 2019Article
- Systems biology in hepatology: approaches and applications.Nature reviews. Gastroenterology & hepatology · 2018Review
- A New Prognostic Tool for Korean Patients with Acute Myocardial Infarction.Korean circulation journal · 2018Article
- TCSBN: a database of tissue and cancer specific biological networks.Nucleic acids research · 2018Article
- Identification of the difference in the pathogenesis in heart failure arising from different etiologies using a microarray dataset.Clinics (Sao Paulo, Brazil) · 2017Article
- Better Indigenous Risk stratification for Cardiac Health study (BIRCH) protocol: rationale and design of a cross-sectional and prospective cohort study to identify novel cardiovascular risk indicators in Aboriginal Australian and Torres Strait Islander adults.BMC cardiovascular disorders · 2017Observational
- Personalized Management of Cardiovascular Disorders.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular disease (CVD) continues to constitute the leading cause of death globally. CVD risk stratification is an essential tool to sort through heterogeneous populations and identify individuals at risk of developing CVD. However, applications of current risk scores have recently been shown to result in considerable misclassification of high-risk subjects. In addition, despite long standing beneficial effects in secondary prevention, current CVD medications have in a primary prevention setting shown modest benefit in terms of increasing life expectancy. A systems biology approach to CVD risk stratification may be employed for improving risk-estimating algorithms through addition of high-throughput derived omics biomarkers. In addition, modeling of personalized benefit-of-treatment may help in guiding choice of intervention. In the area of medicine, realizing that CVD involves perturbations of large complex biological networks, future directions in drug development may involve moving away from a reductionist approach toward a system level approach. Here, we review current CVD risk scores and explore how novel algorithms could help to improve the identification of risk and maximize personalized treatment benefit. We also discuss possible future directions in the development of effective treatment strategies for CVD through the use of genome-scale metabolic models (GEMs) as well as other biological network-based approaches.
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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.