Evidence map›Paper›PMID 34240286›Full record

ArticleJournal of general internal medicine2022

Association Between Neighborhood-Level Poverty and Incident Atrial Fibrillation: a Retrospective Cohort Study.

Utibe R Essien, Megan E McCabe, Kiarri N Kershaw, Quentin R Youmans, Michael J Fine, Clyde W Yancy, Sadiya S Khan

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Impact of Social Determinants of Health on Cardiovascular Disease.Journal of the American Heart Association · 2025
    Review
  5. Review
  6. 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
    Article
  7. Review
  8. Article
  9. Review
  10. Article
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

7 authors at 2 institutions in 1 country.

Utibe R EssienDivision of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. uessien@pitt.edu.ORCID 0000-0002-4494-5028
Megan E McCabeDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Kiarri N KershawDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Quentin R YoumansDivision of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Michael J FineDivision of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Clyde W YancyDivision of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Sadiya S KhanDivision of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Northwestern University · USUniversity of Pittsburgh · US

Funding

Access, Quality and Equity of Anticoagulants in Veterans with Atrial FibrillationIK2HX003176 · VA · VETERANS HEALTH ADMINISTRATION · PI Utibe R. Essien · 2021 to 2026
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American Heart Association 19TPA34890060HSRD VA IK2 HX003176NIH HHS NCATS KL2R001424U.S. Department of Veterans Affairs CDA-20-049
6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is a leading cause of cardiovascular morbidity and mortality. While neighborhood-level factors, such as poverty, have been related to prevalence of AF risk factors, the association between neighborhood poverty and incident AF has been limited.

objectiveUsing a large cohort from a health system serving the greater Chicago area, we sought to determine the association between neighborhood-level poverty and incident AF.

designRetrospective cohort study.

participantsAdults, aged 30 to 80 years, without baseline cardiovascular disease from January 1, 2005, to December 31, 2018. MAIN MEASURES: We geocoded and matched residential addresses of all eligible patients to census-level poverty estimates from the American Community Survey. Neighborhood-level poverty (low, intermediate, and high) was defined as the proportion of residents in the census tract living below the federal poverty threshold. We used generalized linear mixed effects models with a logit link function to examine the association between neighborhood poverty and incident AF, adjusting for patient demographic and clinical AF risk factors. KEY

resultsAmong 28,858 in the cohort, patients in the high poverty group were more often non-Hispanic Black or Hispanic and had higher rates of AF risk factors. Over 5 years of follow-up, 971 (3.4%) patients developed incident AF. Of these, 502 (51.7%) were in the low poverty, 327 (33.7%) in the intermediate poverty, and 142 (14.6%) in the high poverty group. The adjusted odds ratio (aOR) of AF was higher for the intermediate poverty compared with that for the low poverty group (aOR 1.23 [95% CI 1.01-1.48]). The point estimate for the aOR of AF incidence was similar, but not statistically significant, for the high poverty compared with the low poverty group (aOR 1.25 [95% CI 0.98-1.59]).

conclusionIn adults without baseline cardiovascular disease managed in a large, integrated health system, intermediate neighborhood poverty was significantly associated with incident AF. Understanding neighborhood-level drivers of AF disparities will help achieve equitable care.

Indexed as

Atrial FibrillationAdultCohort StudiesHumansIncidencePovertyResidence CharacteristicsRetrospective StudiesRisk Factorsatrial fibrillationneighborhoodpovertysocial determinants

Identifiers

PMID34240286
PMCPMC9086074
OpenAlexW3179378910

What OpenQuestion holds

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Read underepoch 390

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.