Evidence map›Paper›PMID 29852931›Full record

Observational studyJACC. Heart failure2018

Health Status Disparities by Sex, Race/Ethnicity, and Socioeconomic Status in Outpatients With Heart Failure.

Yevgeniy Khariton, Michael E Nassif, Laine Thomas, Gregg C Fonarow, Xiaojuan Mi, Adam D DeVore, Carol Duffy, Puza P Sharma, Nancy M Albert, J Herbert Patterson and 5 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JACC. Heart failure, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
–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

51 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Locking the Revolving Door: Racial Disparities in Cardiovascular Disease.Journal of the American Heart Association · 2023
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Yevgeniy KharitonCardiovascular Outcomes Research, University of Missouri-Kansas City, Saint-Luke's Mid-America Heart Institute, Kansas City, Missouri.
Michael E NassifDivision of Cardiology, Washington University School of Medicine in Saint Louis, Barnes-Jewish Hospital, Saint Louis, Missouri.
Laine ThomasDuke Department of Biostatistics and Informatics, Duke Clinical Research Institute, Durham, North Carolina.
Gregg C FonarowDivision of Cardiology, Ronald Reagan-UCLA Medical Center, Los Angeles, California.
Xiaojuan MiDuke Department of Biostatistics and Informatics, Duke Clinical Research Institute, Durham, North Carolina.
Adam D DeVoreDuke Department of Biostatistics and Informatics, Duke Clinical Research Institute, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Carol DuffyNovartis Pharmaceuticals Corp., East Hanover, New Jersey.
Puza P SharmaNovartis Pharmaceuticals Corp., East Hanover, New Jersey.
Nancy M AlbertOffice of Nursing Research and Innovation, Cleveland Clinic School of Medicine, Cleveland Clinic Kaufman Center for Heart Failure, Cleveland, Ohio.
J Herbert PattersonDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina Hospitals, Chapel Hill, North Carolina.
Javed ButlerDivision of Cardiovascular Medicine, Stony Brook School of Medicine, Stony Brook, New York.
Adrian F HernandezDuke Department of Biostatistics and Informatics, Duke Clinical Research Institute, Durham, North Carolina; Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Fredonia B WilliamsMended Hearts Organization Chapter 260, Huntsville, Alabama.
Kevin McCagueNovartis Pharmaceuticals Corp., East Hanover, New Jersey.
John A SpertusCardiovascular Outcomes Research, University of Missouri-Kansas City, Saint-Luke's Mid-America Heart Institute, Kansas City, Missouri. Electronic address: spertusj@umkc.edu.

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI LIRETTE, SETH · 2016 to 2025
$38.2M
CARDIOVASCULAR OUTCOMES RESEARCH TRAINING PROGRAMT32HL110837 · NHLBI · UNIVERSITY OF MISSOURI KANSAS CITY · PI JOHN A SPERTUS · 2012 to 2026
$5.0M
NHLBI NIH HHS T32 HL110837NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

objectivesThis study sought to describe the health status of outpatients with heart failure and reduced ejection fraction (HFrEF) by sex, race/ethnicity, and socioeconomic status (SES).

backgroundAlthough a primary goal in treating patients with HFrEF is to optimize health status, whether disparities by sex, race/ethnicity, and SES exist is unknown.

methodsIn the CHAMP-HF (Change the Management of Patients with Heart Failure) registry, the associations among sex, race, and SES and health status, as measured by the Kansas City Cardiomyopathy Questionnaire-overall summary (KCCQ-os) score (range 0 to 100; higher scores indicate better health status) was compared among 3,494 patients from 140 U.S. clinics. SES was categorized by total household income. Hierarchical multivariate linear regression estimated differences in KCCQ-os score after adjusting for 31 patient characteristics and 10 medications.

resultsOverall mean KCCQ-os scores were 64.2 ± 24.0 but lower for women (29% of sample; 60.3 ± 24.0 vs. 65.9 ± 24.0, respectively; p < 0.001), for blacks (60.5 ± 25.0 vs. 64.9 ± 23.0, respectively; p < 0.001), for Hispanics (59.1 ± 21.0 vs. 64.9 ± 23.0, respectively; p < 0.001), and for those with the lowest income (<$25,000; mean: 57.1 vs. 63.1 to 74.7 for other income categories; p < 0.001). Fully adjusted KCCQ-os scores were 2.2 points lower for women (95% confidence interval [CI]: -3.8 to -0.6; p = 0.007), no different for blacks (p = 0.74), 4.0 points lower for Hispanics (95% CI: -6.6 to -1.3; p = 0.003), and lowest in the poorest patients (4.7 points lower than those with the highest income (95% CI: 0.1 to 9.2; p = 0.045; p for trend = 0.003).

conclusionsAmong outpatients with HFrEF, women, blacks, Hispanics, and poorer patients had worse health status, which remained significant for women, Hispanics, and poorer patients in fully adjusted analyses. This suggests an opportunity to further optimize treatment to reduce these observed disparities.

Indexed as

Health Status DisparitiesAdultAgedAged, 80 and overAmbulatory CareBlack or African AmericanFemaleHeart FailureHispanic or LatinoHumansMaleMiddle AgedProspective StudiesRegistriesSex FactorsSocial Classhealth disparitiesheart failurequality of life

Identifiers

PMID29852931
PMCPMC6003698

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.