ReviewCirculation research2018
Taking Systems Medicine to Heart.
Review in Circulation research, 2018. 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.
- Cancer treatment-related cardiotoxicity, molecular mechanism, challenges, and research trends.Discover oncology · 2026Review
- Antiageing strategy for neurodegenerative diseases: from mechanisms to clinical advances.Signal transduction and targeted therapy · 2025Review
- Uncovering personalized glucose responses and circadian rhythms from multiple wearable biosensors with Bayesian dynamical modeling.Cell reports methods · 2023Article
- Host Response Modulation Therapy in the Diabetes Mellitus-Periodontitis Conjuncture: A Narrative Review.Pharmaceutics · 2022Review
- KScientific reports · 2022Article
- Personalized Lifestyle Intervention and Functional Evaluation Health Outcomes SurvEy: Presentation of the LIFEHOUSE Study Using N-of-One Tent-Umbrella-Bucket Design.Journal of personalized medicine · 2022Article
- The regulatory network architecture of cardiometabolic diseases.Nature genetics · 2022Article
- Big Data in Cardiology: State-of-Art and Future Prospects.Frontiers in cardiovascular medicine · 2022Review
- Epigenetics in atrial fibrillation: A reappraisal.Heart rhythm · 2021Review
- Systems biology in cardiovascular disease: a multiomics approach.Nature reviews. Cardiology · 2021Review
- Identification of disease treatment mechanisms through the multiscale interactome.Nature communications · 2021Article
- Platelet Proteomes, Pathways, and Phenotypes as Informants of Vascular Wellness and Disease.Arteriosclerosis, thrombosis, and vascular biology · 2021Review
- An integrative model of cardiometabolic traits identifies two types of metabolic syndrome.eLife · 2021Article
- Cardioinformatics: the nexus of bioinformatics and precision cardiology.Briefings in bioinformatics · 2020Article
- The role of inflammation and genetics in periodontal disease.Periodontology 2000 · 2020Review
- Clinical Applications of System Regulation Medicine.Open access Macedonian journal of medical sciences · 2019Review
- Multimorbidity: Implications and directions for health psychology and behavioral medicine.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019Article
- Heart rate fragmentation: using cardiac pacemaker dynamics to probe the pace of biological aging.American journal of physiology. Heart and circulatory physiology · 2019Article
- Omics, Big Data, and Precision Medicine in Cardiovascular Sciences.Circulation research · 2018Article
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.
Funding
Abstract
Systems medicine is a holistic approach to deciphering the complexity of human physiology in health and disease. In essence, a living body is constituted of networks of dynamically interacting units (molecules, cells, organs, etc) that underlie its collective functions. Declining resilience because of aging and other chronic environmental exposures drives the system to transition from a health state to a disease state; these transitions, triggered by acute perturbations or chronic disturbance, manifest as qualitative shifts in the interactions and dynamics of the disease-perturbed networks. Understanding health-to-disease transitions poses a high-dimensional nonlinear reconstruction problem that requires deep understanding of biology and innovation in study design, technology, and data analysis. With a focus on the principles of systems medicine, this Review discusses approaches for deciphering this biological complexity from a novel perspective, namely, understanding how disease-perturbed networks function; their study provides insights into fundamental disease mechanisms. The immediate goals for systems medicine are to identify early transitions to cardiovascular (and other chronic) diseases and to accelerate the translation of new preventive, diagnostic, or therapeutic targets into clinical practice, a critical step in the development of personalized, predictive, preventive, and participatory (P4) medicine.
Indexed as
Identifiers
What Socratic 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 Socratic graph.