Evidence map›Paper›PMID 41586298›Full record

ArticleStroke (Hoboken, N.J.)2024

Atrial Fibrillation: Prevalence and Association With Outcome in Patients With Stroke Undergoing Mechanical Thrombectomy in the United States.

Fadar Oliver Otite, Smit D Patel, Haydn Hoffman, Ehimen Aneni, Nnabuchi Anikpezie, Emmanuel Oladele Akano, Claribel Wee, Devin Burke, Karen Albright, Timothy Beutler and 6 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

16 authors.

Fadar Oliver OtiteDepartment of Neurology State University of New York Upstate Medical University Syracuse NY.
Smit D PatelDepartment of Neurosurgery University of Connecticut Hartford CT.
Haydn HoffmanDepartment of Neurosurgery State University of New York Upstate Medical University Syracuse NY.
Ehimen AneniSection of Cardiovascular Medicine Department of Internal Medicine, Yale University School of Medicine New Haven CT.
Nnabuchi AnikpezieDepartment of Population Health University of Mississippi Medical Center Jackson MS.
Emmanuel Oladele AkanoMolecular Neuropharmacology Unit National Institutes of Neurologic Disorders and Stroke, NIH Bethesda MD.
Claribel WeeDepartment of Neurology State University of New York Upstate Medical University Syracuse NY.
Devin BurkeDepartment of Neurology State University of New York Upstate Medical University Syracuse NY.
Karen AlbrightDepartment of Neurology State University of New York Upstate Medical University Syracuse NY.
Timothy BeutlerDepartment of Neurosurgery State University of New York Upstate Medical University Syracuse NY.
Julius Gene LatorreDepartment of Neurology State University of New York Upstate Medical University Syracuse NY.
Ashish SonigDepartment of Neurosurgery Rutgers University Newark NJ.
Amit SinglaDepartment of Neurosurgery Rutgers University Newark NJ.
Nicholas MorrisDepartment of Neurology University of Maryland School of Medicine Baltimore MD.
Seemant ChaturvediDepartment of Neurology University of Maryland School of Medicine Baltimore MD.
Priyank KhandelwalDepartment of Neurosurgery Rutgers University Newark NJ.ORCID https://orcid.org/0000-0003-3140-780X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: How the prevalence of atrial fibrillation (AF) has changed over time in various demographic subgroups of patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy (MT) in the United States is unknown. Whether in-hospital outcomes differ between patients with AF versus patients without AF after MT remains uncertain. Methods: We conducted a serial cross-sectional study using all primary AIS discharges in the 2010 to 2020 National Inpatient Sample. Discharges with MT codes were identified (n = 155 277), and the proportion with AF in various age, sex, and racial subgroups were computed. We used multivariable-adjusted negative binomial regression to compare AF prevalence between demographic subgroups and joinpoint regression to evaluate trends over time. Multivariable-adjusted generalized linear models were used to evaluate the association of AF with in-hospital outcomes. Results: Across the study period, 45.0% of AIS discharges with MT had AF, but prevalence varied by age, sex, and race or ethnicity. After multivariable adjustment, AF prevalence was 4% higher in women versus men (prevalence rate ratio, 1.04 [95% CI, 1.01-1.07]) and was lower in Black versus White (prevalence rate ratio, 0.80 [95% CI, 0.77-0.84]) but higher in Asian compared with White discharges (prevalence rate ratio, 1.11 [95% CI, 1.05-1.18]). Prevalence increased with age (prevalence rate ratio for ≥80 years versus 18-39 years, 5.23 [95% CI, 4.28-6.39]). Following joinpoint regression, prevalence increased by 3.2% (95% CI, 1.3%-5.2%) annually across the period 2010 to 2015 but declined by -2.2% (95% CI -2.9% to -1.4%) from 2015 to 2020. AF was associated with 22% lower odds of in-hospital death (odds ratio, 0.78 [95% CI, 0.71-0.85]) and 13% greater odds of routine home discharge (odds ratio, 1.13 95% CI, 1.04-1.22]) compared with no AF. Conclusion: AF prevalence in patients undergoing MT in the United States is approximately twice that of the general AIS population. AF prevalence in MT increased from 2010 to 2015 but declined from 2015 to 2020. In the subset of patients with AIS undergoing MT, AF is associated with reduced in-hospital death.

Indexed as

atrial fibrillationepidemiologyischemic strokemortality

Identifiers

PMID41586298
PMCPMC12778550

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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.