Evidence map›Paper›PMID 38138216›Full record

ReviewMedicina (Kaunas, Lithuania)2023

The Optimal Management of Patients with Atrial Fibrillation and Acute Heart Failure in the Emergency Department.

Maria Velliou, Elias Sanidas, Antonis Diakantonis, Ioannis Ventoulis, John Parissis, Effie Polyzogopoulou

Abstract readReview
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

6 authors.

Maria VelliouEmergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece.
Elias SanidasDepartment of Cardiology, Laiko General Hospital, 11527 Athens, Greece.
Antonis DiakantonisEmergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece.
Ioannis VentoulisDepartment of Occupational Therapy, University of Western Macedonia, 50200 Ptolemaida, Greece.ORCID 0000-0002-7572-4527
John ParissisEmergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece.
Effie PolyzogopoulouEmergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) and acute heart failure (AHF) are two closely interrelated conditions that frequently coexist in a manifold manner, with AF serving either as the causative factor or as the consequence or even as an innocent bystander. The interplay between these two clinical conditions is complex, given that they share common pathophysiological pathways and they can reciprocally exacerbate each other, thus triggering a vicious cycle that worsens the prognosis and increases the thromboembolic risk. The optimal management of AF in the context of AHF in the emergency department remains a challenge depending on the time onset, as well as the nature and the severity of the associated symptoms. Acute rate control, along with early rhythm control, when indicated, and anticoagulation represent the main pillars of the therapeutic intervention. The purpose of this review is to elucidate the pathophysiological link between AF and AHF and accordingly present a stepwise algorithmic approach for the management of AF in AHF patients in the emergency setting.

Indexed as

Atrial FibrillationHeart FailureAnti-Arrhythmia AgentsEmergency Service, HospitalHumansPrognosisAnti-Arrhythmia Agentsacute heart failureacute rate controlatrial fibrillationcardiogenic shockcardioversionemergency departmentrhythm control

Identifiers

PMID38138216
PMCPMC10744575

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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.