ReviewCirculation research2012
The emerging paradigm of network medicine in the study of human disease.
Review in Circulation research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis 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
87 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhancing Insights into Pulmonary Vascular Disease through a Precision Medicine Approach. A Joint NHLBI-Cardiovascular Medical Research and Education Fund Workshop Report.American journal of respiratory and critical care medicine · 2017Guideline
- Article
- Correlation-Induced Accessibility Bridges in Biomedical Networks: A Proof-of-Concept Relational Graph Model.Entropy (Basel, Switzerland) · 2026Article
- Precision Medicine Through Network Language: Integrating Clinical Insight and Data Expertise.Genes · 2026Review
- MicroRNA‑microbiome cross‑kingdom networks drive inflammatory bowel disease through dynamic regulatory ecosystems (Review).International journal of molecular medicine · 2026Review
- Rationally Designed Dual Kinase Inhibitors for Management of Obstructive Sleep Apnea-A Computational Study.Biomedicines · 2026Article
- Comic: explainable drug repurposing via contrastive masking for interpretable connections.BMC bioinformatics · 2026Article
- Transcriptional regulatory network analysis uncovers modular gene control and potential key regulators in diabetic cardiomyopathy.Frontiers in cell and developmental biology · 2026Article
- Identification of Disease-miRNA Networks Across Different Human Complex Diseases Using SWIM and MIENTURNET Tools.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Variant-to-Biomarker Pathways in Peripheral Artery Disease: Multiomics Integration and Clinical Translation.Human mutation · 2026Review
- Topics and trends in gastroesophageal reflux disease research over the past 60 years: a text mining and network analysis.Translational gastroenterology and hepatology · 2025Article
- Network physics of attractive colloidal gels: Resilience, rigidity, and phase diagram.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Modeling cell populations metabolism and competition under maximum power constraints.PLoS computational biology · 2023Article
- Phenomics and Robust Multiomics Data for Cardiovascular Disease Subtyping.Arteriosclerosis, thrombosis, and vascular biology · 2023Review
- Analysis of age-dependent gene-expression in human tissues for studying diabetes comorbidities.Scientific reports · 2023Article
- Redox and Immune Signaling in Schizophrenia: New Therapeutic Potential.The international journal of neuropsychopharmacology · 2023Review
- Unraveling patient heterogeneity in complex diseases through individualized co-expression networks: a perspective.Frontiers in genetics · 2023Article
- What's next for computational systems biology?Frontiers in systems biology · 2023Review
- Towards Whole Health Toxicology: In-Silico Prediction of Diseases Sensitive to Multi-Chemical Exposures.Toxics · 2022Article
- Primary health care case management through the lens of complexity: an exploratory study of naturopathic practice using complexity science principles.BMC complementary medicine and therapies · 2022Article
27 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
2 authors.
Funding
Abstract
The molecular pathways that govern human disease consist of molecular circuits that coalesce into complex, overlapping networks. These network pathways are presumably regulated in a coordinated fashion, but such regulation has been difficult to decipher using only reductionistic principles. The emerging paradigm of "network medicine" proposes to utilize insights garnered from network topology (eg, the static position of molecules in relation to their neighbors) as well as network dynamics (eg, the unique flux of information through the network) to understand better the pathogenic behavior of complex molecular interconnections that traditional methods fail to recognize. As methodologies evolve, network medicine has the potential to capture the molecular complexity of human disease while offering computational methods to discern how such complexity controls disease manifestations, prognosis, and therapy. This review introduces the fundamental concepts of network medicine and explores the feasibility and potential impact of network-based methods for predicting individual manifestations of human disease and designing rational therapies. Wherever possible, we emphasize the application of these principles to cardiovascular disease.
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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.