ReviewNPJ cardiovascular health2025
Breaking binary in cardiovascular disease risk prediction.
Review in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Genomic and Precision Medicine Approaches in Atherosclerotic Cardiovascular Disease: From Risk Prediction to Therapy-A Review.Biomedicines · 2025Review
- Applications and implicit assumptions in dementia risk scores: A scoping review of the LIBRA score.Journal of Alzheimer's disease reportsReview
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
Atherosclerotic cardiovascular disease (ASCVD) remains the leading cause of death in the world. However, advances in genetics, omics research, machine learning (ML), and precision medicine have inspired revolutionary new tools in ASCVD risk stratification. Together, polygenic risk scores (PRS) and composite ML-based algorithms help shift the paradigm away from binary predictions towards more comprehensive continuum models. Continued efforts are needed to address socioeconomic and racial disparities in the PRS space.
Identifiers
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.