Evidence map›Paper›PMID 39006593›Full record

ReviewCureus2024

Enhancing Treatment Outcomes in Atrial Fibrillation: A Contemporary Literature Review of the Impact of Optimizing Patient Well-Being in Treatment Management.

Mukosolu F Obi, Manjari Sharma, Vikhyath Namireddy, Vyoma Patel, Arianna Reinberg Palmar, Ngozi T Kanu

Abstract readReview
In one paragraph

Review in Cureus, 2024. 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

6 authors.

Mukosolu F ObiInternal Medicine, Wyckoff Heights Medical Center, Brooklyn, USA.
Manjari SharmaInternal Medicine, Wyckoff Heights Medical Center, Brooklyn, USA.
Vikhyath NamireddyMedicine, St. George's University School of Medicine, True Blue, GRD.
Vyoma PatelMedicine, St. George's University School of Medicine, True Blue, GRD.
Arianna Reinberg PalmarMedicine, St. George's University School of Medicine, True Blue, GRD.
Ngozi T KanuInternal Medicine, Wyckoff Heights Medical Center, Brooklyn, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common heart rhythm disorder, defined by an irregular and rapid heartbeat. It is the most prevalent cardiac arrhythmia in the United States, characterized by irregular heartbeats due to asynchrony between atrial and ventricular contractions. AF can be categorized as paroxysmal or persistent and, as such, poses significant health risks, including heart failure and stroke. Factors like age, sex, lifestyle, and existing health conditions elevate AF risk. There have been a lot of debates around AF risk management and its impact on prognosis. This literature review aims to explore the influence of addressing modifiable risk factors in AF patients on its morbidity and mortality, exploring various treatment options and their effectiveness. Current guidelines suggest rate control and anticoagulation for persistent AF with medications like beta blockers and non-vitamin K oral anticoagulants. Catheter ablation for rhythm control is contentious. Studies on supplemental treatments, lifestyle changes, and managing comorbidities show mixed results, necessitating further research for comprehensive treatment effectiveness in AF patients, which this literature review will discuss.

Indexed as

atrial arrhythmiaatrial fibrillation (af)atrial fibrillation managementcomorbidities for atrial fibrillationobesity and diabetesobstructive sleep apnoeastandard of care

Identifiers

PMID39006593
PMCPMC11246104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.