Evidence map›Paper›PMID 33538180›Full record

ArticleJournal of the American Heart Association2021

Changing Spatiotemporal Trends in County-Level Heart Failure Death Rates in the United States, 1999 to 2018.

Adam S Vaughan, Mary G George, Sandra L Jackson, Linda Schieb, Michele Casper

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Adam S VaughanFrom the Division for Heart Disease and Stroke Prevention Centers for Disease Control and Prevention Atlanta GA.
Mary G GeorgeFrom the Division for Heart Disease and Stroke Prevention Centers for Disease Control and Prevention Atlanta GA.
Sandra L JacksonFrom the Division for Heart Disease and Stroke Prevention Centers for Disease Control and Prevention Atlanta GA.
Linda SchiebFrom the Division for Heart Disease and Stroke Prevention Centers for Disease Control and Prevention Atlanta GA.
Michele CasperFrom the Division for Heart Disease and Stroke Prevention Centers for Disease Control and Prevention Atlanta GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Amid recently rising heart failure (HF) death rates in the United States, we describe county-level trends in HF mortality from 1999 to 2018 by racial/ethnic group and sex for ages 35 to 64 years and 65 years and older. Methods and Results Applying a hierarchical Bayesian model to National Vital Statistics data representing all US deaths, ages 35 years and older, we estimated annual age-standardized county-level HF death rates and percent change by age group, racial/ethnic group, and sex from 1999 through 2018. During 1999 to 2011, ~30% of counties experienced increasing HF death rates among adults ages 35 to 64 years. However, during 2011 to 2018, 86.9% (95% CI, 85.2-88.2) of counties experienced increasing mortality. Likewise, for ages 65 years and older, during 1999 to 2005 and 2005 to 2011, 27.8% (95% CI, 25.8-29.8) and 12.6% (95% CI, 11.2-13.9) of counties, respectively, experienced increasing mortality. However, during 2011 to 2018, most counties (67.4% [95% CI, 65.4-69.5]) experienced increasing mortality. These temporal patterns by age group held across racial/ethnic group and sex. Conclusions These results provide local context to previously documented recent national increases in HF death rates. Although county-level declines were most common before 2011, some counties and demographic groups experienced increasing HF death rates during this period of national declines. However, recent county-level increases were pervasive, occurring across counties, racial/ethnic group, and sex, particularly among ages 35 to 64 years. These spatiotemporal patterns highlight the need to identify and address underlying clinical risk factors and social determinants of health contributing to these increasing trends.

Indexed as

EthnicityForecastingAdultAgedAge DistributionFemaleFollow-Up StudiesHeart FailureHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSex Distributiongeographyheart failuremortality raterace and ethnicitytrends

Identifiers

PMID33538180
PMCPMC7955349

What OpenQuestion holds

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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.