ReviewJournal of arrhythmia2026
Risk Stratification in Cardiovascular Medicine for Prognostic Assessment and Therapeutic Decision-Making: From Atrial Fibrillation to the Broader Disease Spectrum.
Review in Journal of arrhythmia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Risk stratification using validated scoring systems is fundamental to contemporary cardiovascular medicine, underpinning diagnosis, treatment selection, and prognostic assessment. This review provides a comprehensive overview of the major risk scores used across a broad spectrum of cardiovascular diseases, such as atrial fibrillation, acute coronary syndrome, and others, highlighting their development, clinical applications, and evolving roles in guideline-directed care. Importantly, predictive performance alone does not guarantee clinical benefit. We therefore examine evidence from randomized implementation trials evaluating whether risk score-guided management improves clinical outcomes and discuss the future role of artificial intelligence in reshaping cardiovascular risk assessment by integrating dynamic, individualized prediction with actionable clinical decision support.
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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.