ReviewNature reviews. Cardiology2019
Cardiovascular calcification: artificial intelligence and big data accelerate mechanistic discovery.
Review in Nature reviews. Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses 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
86 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial Intelligence in the Heart of Medicine: A Systematic Approach to Transforming Arrhythmia Care with Intelligent Systems.Current cardiology reviews · 2025Pooled it
- Assessment of Subclinical Atherosclerosis in Asymptomatic People In Vivo: Measurements Suitable for Biomarker and Mendelian Randomization Studies.Arteriosclerosis, thrombosis, and vascular biology · 2024Pooled it
- Nogo-B attenuates vascular calcification by activating NRF2-SLC7A11 to enhance antioxidant defense.Redox biology · 2026Article
- From diagnostic marker-to-therapeutic modality: emerging paradigms in tumor biomineralization.Cancer biology & medicine · 2026Review
- Ferroptosis of smooth muscle cells in vascular diseases: from basic principles to clinical translation.Cell death discovery · 2026Review
- Considerations in the Use of Mouse Models of Vascular and Valvular Calcification.Arteriosclerosis, thrombosis, and vascular biology · 2026Review
- Association of Thoracic Aortic Calcification with All-Cause Mortality in Maintenance Hemodialysis Patients: A Prospective Cohort Study.Current medical science · 2026Article
- The Role and Mechanism of Gut Microbiota and Metabolites in Vascular Calcification.International journal of molecular sciences · 2026Review
- The dual role of extracellular vesicles in vascular calcification: from molecular mechanisms to clinical translation.Frontiers in cardiovascular medicine · 2026Review
- Advancements in dual-targeting nanoparticle strategies for enhanced atherosclerosis therapy: Overcoming limitations of single-targeting approaches.Bioactive materials · 2026Review
- Iron in Vascular Calcification: Pro-Calcific Agent or Protective Modulator?International journal of molecular sciences · 2025Review
- Shared Risk Factors and Molecular Mechanisms Between Aortic Stenosis and Atherosclerosis: A Rationale for Therapeutic Repositioning.International journal of molecular sciences · 2025Review
- In vitro model assesses the susceptibility of polymeric scaffolds for material-driven heart valve regeneration to calcification.In vitro models · 2025Article
- Biomaterials-mediated biomineralization for tumor blockade therapy.Nanomedicine (London, England) · 2025Review
- Review
- Regulation of osteogenic differentiation in vascular smooth muscle cells under high-glucose condition.Frontiers in endocrinology · 2025Review
- Dapagliflozin targets SGLT2/SIRT1 signaling to attenuate the osteogenic transdifferentiation of vascular smooth muscle cells.Cellular and molecular life sciences : CMLS · 2024Article
- In Vitro Models of Cardiovascular Calcification.Biomedicines · 2024Review
- Molecular Study of Sudden Cardiac Death.International journal of molecular sciences · 2024Article
- Strategies to reduce the risks of mRNA drug and vaccine toxicity.Nature reviews. Drug discovery · 2024Review
26 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
Cardiovascular calcification is a health disorder with increasing prevalence and high morbidity and mortality. The only available therapeutic options for calcific vascular and valvular heart disease are invasive transcatheter procedures or surgeries that do not fully address the wide spectrum of these conditions; therefore, an urgent need exists for medical options. Cardiovascular calcification is an active process, which provides a potential opportunity for effective therapeutic targeting. Numerous biological processes are involved in calcific disease, including matrix remodelling, transcriptional regulation, mitochondrial dysfunction, oxidative stress, calcium and phosphate signalling, endoplasmic reticulum stress, lipid and mineral metabolism, autophagy, inflammation, apoptosis, loss of mineralization inhibition, impaired mineral resorption, cellular senescence and extracellular vesicles that act as precursors of microcalcification. Advances in molecular imaging and big data technology, including in multiomics and network medicine, and the integration of these approaches are helping to provide a more comprehensive map of human disease. In this Review, we discuss ectopic calcification processes in the cardiovascular system, with an emphasis on emerging mechanistic knowledge obtained through patient data and advances in imaging methods, experimental models and multiomics-generated big data. We also highlight the potential and challenges of artificial intelligence, machine learning and deep learning to integrate imaging and mechanistic data for drug discovery.
Indexed as
Identifiers
30531869What 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.