Evidence map›Paper›PMID 33144159›Full record

ArticleThe American journal of cardiology2021

Relation of Neighborhood Disadvantage to Heart Failure Symptoms and Hospitalizations.

Theresa E Shirey, Yingtian Hu, Yi-An Ko, Aditi Nayak, Eisha Udeshi, Shivani Patel, Alanna A Morris

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The American journal of cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. 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

7 authors at 2 institutions in 1 country.

Theresa E ShireyDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia.
Yingtian HuDepartment of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, Georgia.
Yi-An KoDepartment of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, Georgia.
Aditi NayakDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia.
Eisha UdeshiDivision of Cardiology, Emory University School of Medicine, Atlanta, Georgia.
Shivani PatelHubert Department of Global Health, Emory Rollins School of Public Health, Atlanta, Georgia.
Alanna A MorrisDepartment of Medicine, Emory University School of Medicine, Atlanta, Georgia; Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia. Electronic address: aamorr3@emory.edu.
Emory University · USEmory and Henry College · US

Funding

Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
$92.1M
Atlanta Clinical and Translational Science Institute (TL1)TL1RR025010 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$1.1M
Metabolomics, Oxidative Stress, and Vascular Function in Heart Failure PatientsK23HL124287 · NHLBI · EMORY UNIVERSITY · PI MORRIS, ALANNA AMYRE · 2015 to 2019
$804k
Understanding Racial Differences in Vascular Function and Ventricular-Vascular Coupling in Heart Failure with Preserved Ejection FractionR03HL146874 · NHLBI · EMORY UNIVERSITY · PI MORRIS, ALANNA AMYRE · 2019 to 2020
$156k
NCATS NIH HHS UL1 TR002378NCRR NIH HHS TL1 RR025010NHLBI NIH HHS K23 HL124287NHLBI NIH HHS L30 HL120150NHLBI NIH HHS R03 HL146874
6 · The paper itself

Abstract

Residence in socioeconomically deprived neighborhoods may influence patient's health-related behaviors and overall health. We evaluated the association of neighborhood disadvantage on heart failure (HF) symptom burden and hospitalization rates. We characterized neighborhood deprivation in 359 HF subjects (age 56 ± 13 years, 52% black) in metropolitan Atlanta using the Area Deprivation Index (ADI). ANOVA was used to compare HF symptoms measured using the Kansas City Cardiomyopathy Questionnaire, and HF Self-Care Index across ADI tertiles. Zero-inflated Poisson regression was used to compare rates of recurrent HF hospitalization (HFH) across ADI tertiles. Subjects living in more deprived neighborhoods were more likely to be black, have Medicare or Medicaid insurance, and have a lower ejection fraction than those living in less deprived neighborhoods (all p ≤ 0.005). Subjects in more deprived neighborhoods had more severe HF symptoms (p < 0.001), but there was no difference in HF Self-Care Index scores across ADI tertiles. Subjects living in more deprived neighborhoods had a higher odds of being hospitalized for HF than subjects in less deprived neighborhoods. Once subjects had experienced a HFH, however, the association between ADI and the risk of recurrent HFH varied by racial group. In whites, increasing ADI was associated with a marginally decreased risk of recurrent HFH, while there was no association between ADI and recurrent HFH in blacks. In conclusion, patients with HF living in more deprived neighborhoods have greater symptom burden and are more likely to experience a HFH than those living in less deprived neighborhoods.

Indexed as

FemaleFollow-Up StudiesGeorgiaHeart FailureHospitalizationHumansMaleMiddle AgedMorbidityProspective StudiesResidence CharacteristicsRisk FactorsSocioeconomic Factors

Identifiers

PMID33144159
PMCPMC8764641
OpenAlexW3096403442

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.