Evidence map›Paper›PMID 42337163›Full record

ReviewAmerican journal of cardiovascular drugs : drugs, devices, and other interventions2026

De-risking Atrial Fibrillation: Refining Anticoagulation Decision-Making.

Navid Radfar, Dhir Gala, Harsh Singh, Juan Bello, Joseph Allencherril

Abstract readReview
In one paragraph

Review in American journal of cardiovascular drugs : drugs, devices, and other interventions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Navid RadfarDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA. nr435@njms.rutgers.edu.ORCID http://orcid.org/0009-0005-6631-2554
Dhir GalaDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Harsh SinghDepartment of Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
Juan BelloDivision of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Joseph AllencherrilDivision of Cardiology, Department of Medicine, University of Texas Medical Branch at Galveston, Galveston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional stroke risk assessment in atrial fibrillation relies on clinical scoring tools such as CHA₂DS₂-VASc, which do not capture the full spectrum of individual thromboembolic risk. Contemporary trials have further challenged this traditional approach, highlighting the importance of atrial fibrillation burden and patient-specific factors in guiding therapy. Advanced echocardiographic markers, including left atrial volume index, strain, and appendage morphology, correlate with atrial remodeling, while biomarkers reflecting cardiac stress and inflammation may further refine risk stratification. These multimodal tools offer a path toward more precise "de-risking" strategies and may help identify patients in whom the net benefit of anticoagulation warrants further individualized assessment. Integrating structural, functional, biomarker, and AI-enabled data into stroke prevention models represents a meaningful step toward personalized care in atrial fibrillation management.

Indexed as

AnticoagulantsAtrial FibrillationStrokeDecision MakingHumansRisk AssessmentRisk FactorsThromboembolismAnticoagulants

Identifiers

PMID42337163
PMCPMC13498523

What OpenQuestion holds

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Registered trials

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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.