Evidence map›Paper›PMID 27002081›Full record

ArticleCirculation2016

Changes in the Geographic Patterns of Heart Disease Mortality in the United States: 1973 to 2010.

Michele Casper, Michael R Kramer, Harrison Quick, Linda J Schieb, Adam S Vaughan, Sophia Greer

Abstract readComparative Study
In one paragraph

Article in Circulation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Michele CasperFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.). mcasper@cdc.gov.
Michael R KramerFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.).
Harrison QuickFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.).
Linda J SchiebFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.).
Adam S VaughanFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.).
Sophia GreerFrom Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA (M.C., M.R.K., H.Q., L.J.S., A.S.V., S.G.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (M.R.K., A.S.V.).

Funding

Geography of opportunity: Neighborhood dynamics and child cognitive developmentK01HD074726 · NICHD · EMORY UNIVERSITY · PI KRAMER, MICHAEL ROOT · 2013 to 2017
$596k
Intramural CDC HHS CC999999NICHD NIH HHS K01 HD074726NICHD NIH HHS K01HD074726
6 · The paper itself

Abstract

backgroundAlthough many studies have documented the dramatic declines in heart disease mortality in the United States at the national level, little attention has been given to the temporal changes in the geographic patterns of heart disease mortality. METHODS AND

resultsAge-adjusted and spatially smoothed county-level heart disease death rates were calculated for 2-year intervals from 1973 to 1974 to 2009 to 2010 for those aged ≥35 years. Heart disease deaths were defined according to the International Classification of Diseases codes for diseases of the heart in the eighth, ninth, and tenth revisions of the International Classification of Diseases. A fully Bayesian spatiotemporal model was used to produce precise rate estimates, even in counties with small populations. A substantial shift in the concentration of high-rate counties from the Northeast to the Deep South was observed, along with a concentration of slow-decline counties in the South and a nearly 2-fold increase in the geographic inequality among counties.

conclusionsThe dramatic change in the geographic patterns of heart disease mortality during 40 years highlights the importance of small-area surveillance to reveal patterns that are hidden at the national level, gives communities the historical context for understanding their current burden of heart disease, and provides important clues for understanding the determinants of the geographic disparities in heart disease mortality.

Indexed as

AdultAgedBayes TheoremFemaleGeography, MedicalHeart DiseasesHumansMaleMiddle AgedModels, TheoreticalMortalityPopulation SurveillanceSocioeconomic FactorsUnited Statesepidemiologyheart diseasesmappingmortality

Identifiers

PMID27002081
PMCPMC4836838

What OpenQuestion holds

Textmetadata
LicenceTDM
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.