Evidence map›Paper›PMID 31480884›Full record

ArticleJournal of the American Heart Association2019

Regional Variation in the Association of Poverty and Heart Failure Mortality in the 3135 Counties of the United States.

Khansa Ahmad, Edward W Chen, Umair Nazir, William Cotts, Ambar Andrade, Amal N Trivedi, Sebhat Erqou, Wen-Chih Wu

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

33 citing papers in PubMed.

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  14. Rural and socioeconomic differences in the effectiveness of the HEART Pathway accelerated diagnostic protocol.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2023
    Article
  15. Impact of Socioeconomic Status on Heart Failure.Journal of community hospital internal medicine perspectives · 2023
    Review
  16. Article
  17. Article
  18. County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado.International journal of environmental research and public health · 2022
    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

8 authors.

Khansa AhmadDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Edward W ChenDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Umair NazirDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
William CottsDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Ambar AndradeDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Amal N TrivediDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Sebhat ErqouDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.
Wen-Chih WuDivision of Cardiology, Providence Veterans Affairs Medical Center and the Warren Alpert Medical School at Brown University Providence RI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is significant geographical variation in heart failure (HF) mortality across the United States. County socioeconomic factors that influence these outcomes are unknown. We studied the association between county socioeconomic factors and HF mortality and compared it with coronary heart disease (CHD) mortality. Methods and Results This is a cross-sectional analysis of socioeconomic factors and mortality in HF and CHD across 3135 US counties from 2010 to 2015. County-level poverty, education, income, unemployment, health insurance status, and cause-specific mortality rates were collected from the Centers for Disease Control and Prevention and US Census Bureau databases. Poverty had the strongest correlation with both HF and CHD mortality, disproportionately higher for HF (r=0.48) than CHD (r=0.24). HF mortality increased by 5.2 deaths/100 000 for each percentage increase in county poverty prevalence in a frequency-weighted, demographic-adjusted, multivariate regression model. The greatest attenuation in the poverty regression coefficient (66.4%) was seen after adjustment for prevalence of diabetes mellitus and obesity. Subgroup analysis by census region showed that this relationship was the strongest in the South and weakest in the Northeast (6.1 versus 1.4 deaths/100 000 per 1% increase in county poverty in a demographics-adjusted model). Conclusions County poverty is the strongest socioeconomic factor associated with HF and CHD mortality, an association that is stronger with HF than with CHD and varied by census region. Over half of the association was explained by differences in the prevalence of diabetes mellitus and obesity across the counties. Health policies targeting improvement in these risk factors may address and possibly minimize health disparities caused by socioeconomic factors.

Indexed as

Educational StatusAdultAgedCoronary DiseaseCross-Sectional StudiesDiabetes MellitusFemaleGeographyHealth PolicyHeart FailureHumansIncomeInsurance, HealthMaleMiddle AgedObesitydisparitiesheart failuremortalitysocioeconomic position

Identifiers

PMID31480884
PMCPMC6818020

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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.