Evidence map›Paper›PMID 42465535›Full record

ReviewFrontiers in cardiovascular medicine2026

Atrial fibrillation burden and oral anticoagulation: a context-dependent framework for net clinical benefit beyond binary AF definitions.

Zonghong Wu, Jie Hao

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 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

2 authors.

Zonghong WuDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Jie HaoDepartment of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is a major risk factor for ischaemic stroke, and oral anticoagulation (OAC) effectively reduces thromboembolic risk in patients with clinically diagnosed AF. With the expanding use of continuous rhythm monitoring and wearable devices, increasing numbers of device-detected atrial arrhythmias are being identified, challenging the traditional binary approach to AF diagnosis and anticoagulation decision-making. AF burden, commonly defined as the proportion of monitored time spent in AF during a defined monitoring period, has emerged as a quantitative measure of AF exposure. Observational studies using continuous monitoring, including ASSERT, TRENDS, and KP-RHYTHM, consistently demonstrate that increasing AF burden is associated with progressively higher absolute risks of ischaemic stroke and systemic embolism. However, patients with low AF burden generally have relatively low absolute event rates. Randomized trials such as LOOP, ARTESiA, and NOAH-AFNET 6 further evaluated anticoagulation in patients with device-detected or subclinical AF. Collectively, these studies suggest that, in low-burden AF populations, reductions in thromboembolic events with OAC may be offset by increased bleeding risk, resulting in limited overall net clinical benefit. Current evidence indicates that AF burden alone is unlikely to provide sufficient guidance for anticoagulation decisions. Instead, the net clinical benefit of OAC appears to depend on the interaction among AF burden, thromboembolic risk, bleeding risk, and patient-specific clinical factors. This review summarizes current evidence on AF burden and discusses how AF burden, thromboembolic risk, and bleeding risk may jointly influence the net clinical benefit of anticoagulation.

Indexed as

atrial fibrillation burdenbleeding riskdevice-detected atrial fibrillationnet clinical benefitoral anticoagulationthromboembolic risk

Identifiers

PMID42465535
PMCPMC13372787

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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.