Evidence map›Paper›PMID 33648527›Full record

ArticleInternational journal of health geographics2021

Geographical variation and clustering are found in atrial fibrillation beyond socioeconomic differences: a Danish cohort study, 1987-2015.

Kirstine Wodschow, Kristine Bihrmann, Mogens Lytken Larsen, Gunnar Gislason, Annette Kjær Ersbøll

Abstract read
In one paragraph

Article in International journal of health geographics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Review
  2. Social drivers in atrial fibrillation occurrence, screening, treatment, and outcomes: systematic-narrative hybrid review.European heart journal supplements : journal of the European Society of Cardiology · 2024
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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

5 authors.

Kirstine WodschowNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen K, Denmark. ikwo@si-folkesundhed.dk.ORCID 0000-0001-9908-3632
Kristine BihrmannNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen K, Denmark.
Mogens Lytken LarsenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Gunnar GislasonNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen K, Denmark.
Annette Kjær ErsbøllNational Institute of Public Health, University of Southern Denmark, Studiestræde 6, 1455, Copenhagen K, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence and incidence rate of atrial fibrillation (AF) increase worldwide and AF is a risk factor for more adverse cardiovascular diseases including stroke. Approximately 44% of AF cases cannot be explained by common individual risk factors and risk might therefore also be related to the environment. By studying geographical variation and clustering in risk of incident AF adjusted for socioeconomic position at an individual level, potential neighbourhood risk factors could be revealed.

methodsInitially, yearly AF incidence rates 1987-2015 were estimated overall and stratified by income in a register-based cohort study. To examine geographical variation and clustering in AF, we used both spatial scan statistics and a hierarchical Bayesian Poisson regression analysis of AF incidence rates with random effect of municipalities (n = 98) in Denmark in 2011-2015.

resultsThe 1987-2015 cohort included 5,453,639 individuals whereof 369,800 were diagnosed with an incident AF. AF incidence rate increased from 174 to 576 per 100,000 person-years from 1987 to 2015. Inequality in AF incidence rate ratio between highest and lowest income groups increased from 23% in 1987 to 38% in 2015. We found clustering and geographical variation in AF incidence rates, with incidence rates at municipality level being up to 34% higher than the country mean after adjusting for socioeconomic position.

conclusionsGeographical variations and clustering in AF incidence rates exist. Compared to previous studies from Alberta, Canada and the United States, we show that geographical variations exist in a country with free access to healthcare and even when accounting for socioeconomic differences at an individual level. An increasing social inequality in AF was seen from 1987 to 2015. Therefore, when planning prevention strategies, attention to individuals with low income should be given. Further studies focusing on identification of neighbourhood risk factors for AF are needed.

Indexed as

Atrial FibrillationAlbertaBayes TheoremCluster AnalysisCohort StudiesDenmarkHumansIncidenceRisk FactorsSocioeconomic FactorsUnited StatesAtrial fibrillationBayesian analysis.Cluster analysisEpidemiologyHealth registersHealth status disparities

Identifiers

PMID33648527
PMCPMC7923319

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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.