Evidence map›Paper›PMID 39817084›Full record

ArticleJACC. Advances2024

Ethnic Differences in Atrial Fibrillation in the United Kingdom.

Emilie K Frimodt-Møller, Janet J Tang, Tor Biering-Sørensen, Francesca N Delling, Larry R Jackson, Gregory M Marcus

Abstract read
In one paragraph

Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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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.

Emilie K Frimodt-MøllerDivision of Cardiology, University of California-San Francisco, San Francisco, California, USA.
Janet J TangDivision of Cardiology, University of California-San Francisco, San Francisco, California, USA.
Tor Biering-SørensenDepartment of Cardiology, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark.
Francesca N DellingDivision of Cardiology, University of California-San Francisco, San Francisco, California, USA.
Larry R JacksonDivision of Cardiology, Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Gregory M MarcusDivision of Cardiology, University of California-San Francisco, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Within the United States, White individuals experience a higher risk of atrial fibrillation (AF) while exhibiting a lower AF-related stroke risk compared to other ethnic groups. It is possible that these observations stem from phenomena unique to the United States, such as differential health care access. The United Kingdom provides socialized medicine, which ostensibly promotes equitable health care access. Objectives: The purpose of the study was to examine whether ethnic differences in the risks of AF and AF-related stroke and systemic infarcts exist in the United Kingdom. Methods: We leveraged longitudinal data from the UK Biobank between January 1, 2006, and June 30, 2020. Ethnicity was categorized as White, Black, South Asian, Chinese, or multiracial. Incident AF, stroke, and systemic infarct were ascertained from in- and out-patient records. Results: A total of 458,785 participants (438,333 White, 7,244 Black, 9,143 South Asian, 1,376 Chinese, and 2,689 multiracial) were included. After excluding those with prevalent AF, 8,706 developed incident AF. Black individuals (HR: 0.60; 95% CI: 0.49-0.74; Conclusions: In a European population with universal access to health care, White individuals consistently experienced the highest risk of AF, but there were no detectable differences in AF-related stroke or systemic infarcts.

Indexed as

atrial fibrillationethnicitystrokesystemic infarctsUK Biobank

Identifiers

PMID39817084
PMCPMC11734043

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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.