Evidence map›Paper›PMID 35778761›Full record

ArticleBMC public health2022

Epidemiology of geographic disparities in heart failure among US older adults: a Medicare-based analysis.

Bin Yu, Igor Akushevich, Arseniy P Yashkin, Anatoliy I Yashin, H Kim Lyerly, Julia Kravchenko

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Bin YuDepartment of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA. binyu1029@outlook.com.
Igor AkushevichSocial Science Research Institute, Duke University, Durham, NC, 27710, USA.
Arseniy P YashkinSocial Science Research Institute, Duke University, Durham, NC, 27710, USA.
Anatoliy I YashinSocial Science Research Institute, Duke University, Durham, NC, 27710, USA.
H Kim LyerlyDepartment of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.
Julia KravchenkoDepartment of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.

Funding

Racial and Geographic Disparities in Risk and Survival of Alzheimer's Disease and Related DementiasR01AG066133 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR · 2019 to 2023
$3.7M
Determinants of geographic disparities in mortality and multimorbidity in the U.S.R01AG057801 · NIA · DUKE UNIVERSITY · PI AKUSHEVICH, IGOR, KRAUCHANKA, YULIYA · 2019 to 2023
$2.1M
NIA NIH HHS R01 AG057801NIA NIH HHS R01 AG066133
6 · The paper itself

Abstract

backgroundThere are prominent geographic disparities in the life expectancy (LE) of older US adults between the states with the highest (leading states) and lowest (lagging states) LE and their causes remain poorly understood. Heart failure (HF) has been proposed as a major contributor to these disparities. This study aims to investigate geographic disparities in HF outcomes between the leading and lagging states.

methodsThe study was a secondary data analysis of HF outcomes in older US adults aged 65+, using Center for Disease Control and Prevention sponsored Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database and a nationally representative 5% sample of Medicare beneficiaries over 2000-2017. Empiric estimates of death certificate-based mortality from HF as underlying cause of death (CBM-UCD)/multiple cause of death (CBM-MCD); HF incidence-based mortality (IBM); HF incidence, prevalence, and survival were compared between the leading and lagging states. Cox regression was used to investigate the effect of residence in the lagging states on HF incidence and survival.

resultsBetween 2000 and 2017, HF mortality rates (per 100,000) were higher in the lagging states (CBM-UCD: 188.5-248.6; CBM-MCD: 749.4-965.9; IBM: 2656.0-2978.4) than that in the leading states (CBM-UCD: 79.4-95.6; CBM-MCD: 441.4-574.1; IBM: 1839.5-2138.1). Compared to their leading counterparts, lagging states had higher HF incidence (2.9-3.9% vs. 2.2-2.9%), prevalence (15.6-17.2% vs. 11.3-13.0%), and pre-existing prevalence at age 65 (5.3-7.3% vs. 2.8-4.1%). The most recent rates of one- (77.1% vs. 80.4%), three- (59.0% vs. 60.7%) and five-year (45.8% vs. 49.8%) survival were lower in the lagging states. A greater risk of HF incidence (Adjusted Hazards Ratio, AHR [95%CI]: 1.29 [1.29-1.30]) and death after HF diagnosis (AHR: 1.12 [1.11-1.13]) was observed for populations in the lagging states. The study also observed recent increases in CBMs and HF incidence, and declines in HF prevalence, prevalence at age 65 and survival with a decade-long plateau stage in IBM in both leading and lagging states.

conclusionThere are substantial geographic disparities in HF mortality, incidence, prevalence, and survival across the U.S.: HF incidence, prevalence at age 65 (age of Medicare enrollment), and survival of patients with HF contributed most to these disparities. The geographic disparities and the recent increase in incidence and decline in survival underscore the importance of HF prevention strategies.

Indexed as

Heart FailureMedicareAdultAgedHumansIncidenceMiddle AgedPrevalenceUnited StatesGeographic disparitiesHeart failureIncidenceIncidence-based mortalityMortalityPrevalenceSurvivalTime trend

Identifiers

PMID35778761
PMCPMC9248157

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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.