Evidence map›Paper›PMID 40583088›Full record

ReviewHeart failure reviews2025

Management of atrial fibrillation in patients with heart failure with preserved ejection fraction.

Paula Rambarat, Adam D DeVore, Daniel B Mark, Tristam D Bahnson, Jonathan Piccini

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2025. 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.

Paula RambaratDepartment of Medicine, Duke University Medical Center, DUMC Box 3816, Durham, NC, 27710, USA.
Adam D DeVoreDepartment of Medicine, Duke University Medical Center, DUMC Box 3816, Durham, NC, 27710, USA.
Daniel B MarkDepartment of Medicine, Duke University Medical Center, DUMC Box 3816, Durham, NC, 27710, USA.
Tristam D BahnsonDepartment of Medicine, Duke University Medical Center, DUMC Box 3816, Durham, NC, 27710, USA.
Jonathan PicciniDepartment of Medicine, Duke University Medical Center, DUMC Box 3816, Durham, NC, 27710, USA. jonathan.piccini@duke.edu.

Funding

Neurocognition and Greater Maintenance of Sinus Rhythm in AF (NOGGIN AF)R01AG074185 · NIA · DUKE UNIVERSITY · PI MATHEW, JOSEPH P, PICCINI, JONATHAN PAUL · 2021 to 2025
$3.7M
NIA NIH HHS R01 AG074185
6 · The paper itself

Abstract

Atrial fibrillation (AF) and heart failure with a preserved ejection fraction (HFpEF) frequently co-exist and are associated with high cardiovascular morbidity and mortality. The management of AF in HFpEF requires a multifaceted and integrated approach that includes the initiation of evidence-based medical therapies for heart failure, control of arrhythmia symptoms and burden with rhythm or rate control, assessment of thromboembolic risk with treatment, and aggressive control of common clinical comorbidities. The optimal management strategy of AF is uncertain though subanalyses of randomized trials and retrospective studies suggest an improvement in cardiovascular outcomes with a catheter ablation-based rhythm control strategy, especially in patients with HFpEF and paroxysmal or early persistent AF. In this review, we summarize this integrated approach to the management of AF in HFpEF, examine the evidence for recommending first-line rhythm versus rate control, and highlight key areas in need of further study.

Indexed as

Anti-Arrhythmia AgentsAtrial FibrillationDisease ManagementHeart FailureStroke VolumeCatheter AblationHumansAnti-Arrhythmia AgentsAtrial fibrillationHeart failureHFpEF

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.