Evidence map›Paper›PMID 32144188›Full record

ArticleHeart (British Cardiac Society)2020

Association of household income and adverse outcomes in patients with atrial fibrillation.

Anna Rose LaRosa, J'Neka Claxton, Wesley T O'Neal, Pamela L Lutsey, Lin Y Chen, Lindsay Bengtson, Alanna M Chamberlain, Alvaro Alonso, Jared W Magnani

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Heart (British Cardiac Society), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
10.7field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Trial
  4. Association Between Socioeconomic Status and Atrial Fibrillation: A Two-Sample Mendelian Randomization Study.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Impact of Social Determinants of Health on Cardiovascular Disease.Journal of the American Heart Association · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 6 institutions in 1 country.

Anna Rose LaRosaDepartment of Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.ORCID 0000-0001-8762-3363
J'Neka ClaxtonDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.
Wesley T O'NealDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Pamela L LutseyDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA.
Lin Y ChenCardiovascular Division, University of Minnesota School of Medicine, Minneapolis, Minnesota, USA.
Lindsay BengtsonHealth Economics and Outcomes Research, Life Sciences, Optum, Eden Prairie, Minnesota, USA.
Alanna M ChamberlainDivision of Epidemiology, Department of Health Research Sciences, Mayo Clinic, Rochester, Minnesota, USA.
Alvaro AlonsoDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesotaa, USA.ORCID 0000-0002-2225-8323
Jared W MagnaniDivision of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA magnanij@pitt.edu.ORCID 0000-0002-5075-3604
University of Minnesota · USEmory University · USMayo Clinic in Florida · USOptum (United States) · USUniversity of Pittsburgh · USUniversity of Pittsburgh Medical Center · US

Funding

Diversity Supplement for geocoding in the parent grant "A Mobile Relational Agent to Enhance Atrial Fibrillation self-care"R33HL144669 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2020 to 2023
$3.8M
Mobile Health intervention for rural atrial fibrillationR01HL143010 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2019 to 2022
$3.0M
Comparative Effectiveness of Oral Anticoagulants in Atrial FibrillationR01HL122200 · NHLBI · UNIVERSITY OF MINNESOTA · PI ALONSO, ALVARO · 2015 to 2017
$1.2M
A Mobile Relational Agent to Enhance Atrial Fibrillation Self-careR61HL144669 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MAGNANI, JARED W. · 2019 to 2019
$766k
Mentoring in patient-oriented atrial fibrillation and cardiovascular researchK24HL148521 · NHLBI · EMORY UNIVERSITY · PI ALONSO, ALVARO · 2019 to 2023
$593k
NHLBI NIH HHS K24 HL148521NHLBI NIH HHS R01 HL122200NHLBI NIH HHS R01 HL143010NHLBI NIH HHS R33 HL144669NHLBI NIH HHS R61 HL144669
6 · The paper itself

Abstract

backgroundSocial determinants of health are relevant to cardiovascular outcomes but have had limited examination in atrial fibrillation (AF).

objectivesThe purpose of this study was to examine the association of annual household income and cardiovascular outcomes in individuals with AF.

methodsWe analysed administrative claims for individuals with AF from 2009 to 2015 captured by a health claims database. We categorised estimates of annual household income as <$40 000; $40-$59 999; $60-$74 999; $75-$99 999; and ≥$100 000. Covariates included demographics, education, cardiovascular disease risk factors, comorbid conditions and anticoagulation. We examined event rates by income category and in multivariable-adjusted models in reference to the highest income category (≥$100 000).

resultsOur analysis included 336 736 individuals (age 72.7±11.9 years; 44.5% women; 82.6% white, 8.4% black, 7.0% Hispanic and 2.1% Asian) with AF followed for median (25th and 75th percentile) of 1.5 (95% CI 0.6 to 3.0) years. We observed an inverse association between income and heart failure and myocardial infarction (MI) with evidence of progressive risk across decreased income categories. Individuals with household income <$40 000 had the greatest risk for heart failure (HR 1.17; 95% CI 1.05 to 1.30) and MI (HR 1.18; 95% CI 0.98 to 1.41) compared with those with income ≥$100 000.

conclusionsWe identified an association between lower household income and adverse outcomes in a large cohort of individuals with AF. Our findings support consideration of income in the evaluation of cardiovascular risk in individuals with AF.

Indexed as

Family CharacteristicsIncomeAgedAtrial FibrillationFemaleFollow-Up StudiesHumansIncidenceMaleRetrospective StudiesRisk FactorsSocioeconomic FactorsSurvival RateUnited Statesatrial fibrillationquality and outcomes of care

Identifiers

PMID32144188
PMCPMC7483243
OpenAlexW3009046568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.