ReviewCardiovascular research2021
Network medicine in Cardiovascular Research.
Review in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative Effectiveness of Aerobic Exercise versus Resistance Training on Cardiometabolic Health in Patients with Diabesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of sports science & medicine · 2026Pooled it
- Integrated Multi-omics Reveals CDKN1A Suppression and Metabolic Regulation as Key Mechanisms of Huangqi Guizhi Wuwu Decoction Against Doxorubicin-Induced Cardiotoxicity.Cardiovascular toxicology · 2026Article
- Article
- AI and network biology for rational polypharmacology in signaling drug design: a review.NPJ precision oncology · 2026Review
- Myocardial ischemia-reperfusion injury after acute myocardial infarction: spatiotemporal mechanisms and endotype-matched multi-target modulation by compounds from traditional Chinese medicine.Frontiers in cardiovascular medicine · 2026Review
- Precision medicine and personalized nursing in cardiovascular disease: clinical applications and frontier developments.Frontiers in cardiovascular medicine · 2026Review
- Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm.Communications medicine · 2025Article
- Sex differences in the network structures of depressive symptom profiles in Asian patients with depressive disorders: findings from the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3.Acta neuropsychiatrica · 2025Article
- Comprehensive analysis of diagnostic biomarkers related to histone acetylation in acute myocardial infarction.BMC medical genomics · 2025Article
- Precision cardiovascular medicine: shifting the innovation paradigm.Frontiers in science · 2025Article
- Disease gene prioritization with quantum walks.Bioinformatics (Oxford, England) · 2024Article
- Comorbidity patterns in cardiovascular diseases: the role of life-stage and socioeconomic status.Frontiers in cardiovascular medicine · 2024Article
- Review
- Development trends of etiological research contents and methods of noncommunicable diseases.Health care science · 2023Article
- DNA and RNA Molecules as a Foundation of Therapy Strategies for Treatment of Cardiovascular Diseases.Pharmaceutics · 2023Review
- Network medicine: an approach to complex kidney disease phenotypes.Nature reviews. Nephrology · 2023Review
- PARM1 Drives Smooth Muscle Cell Proliferation in Pulmonary Arterial Hypertension via AKT/FOXO3A Axis.International journal of molecular sciences · 2023Article
- Targeting stressor-induced dysfunctions in protein-protein interaction networks via epichaperomes.Trends in pharmacological sciences · 2023Review
- Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants.Nature communications · 2022Article
- Meeting the Challenges of Myocarditis: New Opportunities for Prevention, Detection, and Intervention-A Report from the 2021 National Heart, Lung, and Blood Institute Workshop.Journal of clinical medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The ability to generate multi-omics data coupled with deeply characterizing the clinical phenotype of individual patients promises to improve understanding of complex cardiovascular pathobiology. There remains an important disconnection between the magnitude and granularity of these data and our ability to improve phenotype-genotype correlations for complex cardiovascular diseases. This shortcoming may be due to limitations associated with traditional reductionist analytical methods, which tend to emphasize a single molecular event in the pathogenesis of diseases more aptly characterized by crosstalk between overlapping molecular pathways. Network medicine is a rapidly growing discipline that considers diseases as the consequences of perturbed interactions between multiple interconnected biological components. This powerful integrative approach has enabled a number of important discoveries in complex disease mechanisms. In this review, we introduce the basic concepts of network medicine and highlight specific examples by which this approach has accelerated cardiovascular research. We also review how network medicine is well-positioned to promote rational drug design for patients with cardiovascular diseases, with particular emphasis on advancing precision medicine.
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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.