ReviewResearch (Washington, D.C.)2025
Cardiovascular Information and Health Engineering Medicine.
Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- ECGomics: An Open Platform for AI-ECG Digital Biomarker Discovery.Health data science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiovascular diseases (CVDs) persistently impose a substantial global health burden, highlighting the necessity for innovative approaches to their prevention, diagnosis, and treatment. This paper accentuates the close correlation between vascular health and CVDs. To address unmet clinical demands for the early and efficient management of CVDs, we emphasize the potential of engineering medicine and propose the concept of cardiovascular information and health engineering medicine (CVIHEM), delineating its objectives and framework for collecting, analyzing, and translating multidimensional vascular data into practical strategies. By systematically and efficiently acquiring and translating vascular information through multidisciplinary collaboration, CVIHEM enhances our understanding of the vascular network and provides innovative strategies for promoting vascular health. This approach encompasses a range of applications, such as artificial intelligence-driven decision-making, targeted therapy, and vascular health management, ultimately improving vascular health and clinical outcomes.
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.