Evidence map›Paper›PMID 27438103›Full record

ArticleJAMA cardiology2016

Geographic Variation in Trends and Disparities in Acute Myocardial Infarction Hospitalization and Mortality by Income Levels, 1999-2013.

Erica S Spatz, Adam L Beckman, Yun Wang, Nihar R Desai, Harlan M Krumholz

Open access · bronzeAbstract read
In one paragraph

Article in JAMA cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
14.3field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 82 citations in OpenAlex.

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  15. Study design of BETTER-BP: Behavioral economics trial to enhance regulation of blood pressure.International journal of cardiology. Cardiovascular risk and prevention · 2022
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  19. Examining Predictors of Myocardial Infarction.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Erica S SpatzSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut2Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Adam L BeckmanYale College, New Haven, Connecticut.
Yun WangSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut2Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut4Department of Biostatistics, Harva.
Nihar R DesaiSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut2Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Harlan M KrumholzSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut2Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut5Department of Health Policy and Ma.
Yale New Haven Hospital · USHarvard University · USYale New Haven Health System · USYale University · US

Funding

Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
Yale-CORE Career Development Program in Patient-Centered Outcomes ResearchK12HS023000 · AHRQ · YALE UNIVERSITY · PI KRUMHOLZ, HARLAN MARC · 2014 to 2018
$3.4M
AHRQ HHS K12 HS023000NHLBI NIH HHS U01 HL105270
6 · The paper itself

Abstract

importanceDuring the past decade, the incidence and mortality associated with acute myocardial infarction (AMI) in the United States have decreased substantially. However, it is unknown whether these improvements were consistent across communities of different economic status and geographic regions since efforts to improve cardiovascular disease prevention and management may have had variable impact.

objectiveTo determine whether trends in US county-level, risk-standardized AMI hospitalization and mortality rates varied by county-based median income level. DESIGN, SETTING, AND

participantsIn this observational study, county-level risk-standardized (age, sex, and race) hospitalization and 1-year mortality rates for AMI from January 1, 1999, to December 31, 2013, were measured for Medicare beneficiaries 65 years or older. Data analysis was performed from June 2 through December 1, 2015. Counties were stratified by median income percentile using 1999 US Census Bureau data adjusted for inflation: low- (<25th), average- (25th-75th), or high- (>75th) income groups. MAIN OUTCOMES AND MEASURES: The effect of income on the slope of AMI hospitalizations and mortality, measured as differences in the rate of change in AMI hospitalizations and mortality by county income and by the 4 US geographic regions, and a possible lag effect among low-income counties.

resultsIn the 15-year study period, AMI risk-standardized hospitalization and mortality rates decreased significantly for all 3 county income groups. Mean hospitalization rates were significantly higher among low-income counties compared with high-income counties in 1999 (1353 vs 1123 per 100 000 person-years, respectively) and in 2013 (853 vs 648 per 100 000 person-years, respectively). One-year mortality rates after hospitalization for AMI were similar across county income groups, decreasing from 1999 (31.5%, 31.4%, and 31.1%, for high-, average-, and low-income counties, respectively) to 2013 (26.2%, 26.1%, and 25.4%, respectively). Income was associated with county-level, risk-standardized AMI hospitalization rates but not mortality rates. Increasing 1 interquartile range of median county consumer price index-adjusted income ($12 000) was associated with a decline in 46 and 37 hospitalizations per 100 000 person-years for 1999 and 2013, respectively; interaction between income and time was 0.56. The rate of decline in AMI hospitalizations was similar for all county income groups; however, low-income counties lagged behind high-income counties by 4.3 (95% CI, 3.1-5.9) years. There were no significant differences in trends across geographic regions. CONCLUSIONS AND RELEVANCE: Hospitalization and mortality rates of AMI declined among counties of all income levels, although hospitalization rates among low-income counties lag behind those of the higher income groups. These findings lend support for a more targeted, community-based approach to AMI prevention.

Indexed as

HospitalizationIncomeHumansMyocardial InfarctionUnited States

Identifiers

PMID27438103
PMCPMC5459393
OpenAlexW2393782543

What OpenQuestion holds

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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.