Evidence map›Paper›PMID 31266369›Full record

SynthesisCirculation. Cardiovascular quality and outcomes2019

Performance of the Meta-Analysis Global Group in Chronic Heart Failure Score in Black Patients Compared With Whites.

Ryhm Radjef, Edward L Peterson, Alexander Michaels, Bin Liu, Hongsheng Gui, Hani N Sabbah, John A Spertus, L Keoki Williams, David E Lanfear

Open access · bronzeAbstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in Circulation. Cardiovascular quality and outcomes, 2019. 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
0.6field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Observational
  5. 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

9 authors at 2 institutions in 1 country.

Ryhm RadjefHeart and Vascular Institute (R.R., A.M., H.N.S., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Edward L PetersonDepartment of Public Health Sciences (E.L.P., B.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Alexander MichaelsHeart and Vascular Institute (R.R., A.M., H.N.S., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Bin LiuDepartment of Public Health Sciences (E.L.P., B.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Hongsheng GuiCenter for Individualized and Genomic Medicine Research, (H.G., L.K.W., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Hani N SabbahHeart and Vascular Institute (R.R., A.M., H.N.S., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
John A SpertusMid America Heart Institute, St. Luke's Hospital, Kansas City, MO (J.A.S.).
L Keoki WilliamsCenter for Individualized and Genomic Medicine Research, (H.G., L.K.W., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
David E LanfearHeart and Vascular Institute (R.R., A.M., H.N.S., D.E.L.), Department of Internal Medicine, Henry Ford Hospital, Detroit, MI.
Henry Ford Hospital · USSaint Luke's Hospital · US

Funding

Substrate Selection and Oxidative Stress in Heart FailureP01HL074237 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI STANLEY, WILLIAM C · 2003 to 2013
$19.9M
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMAR01AI079139 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2009 to 2013
$3.9M
Impact of Race and Genetic Factors on Beta-blocker Effectiveness in Heart FailureR01HL103871 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E · 2011 to 2015
$3.5M
Plasma Metabolomics and Myocardial Energetics in Heart FailureR01HL132154 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E, SABBAH, HANI N · 2017 to 2020
$3.1M
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed PopulationsR01HL118267 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2014 to 2017
$2.9M
VALIDATION OF ADHERENCE DATA--USE IN CLINICAL PRACTICER01DK064695 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2003 to 2010
$2.7M
NHLBI NIH HHS P01 HL074237NHLBI NIH HHS R01 HL103871NHLBI NIH HHS R01 HL118267NHLBI NIH HHS R01 HL132154NIAID NIH HHS R01 AI079139NIDDK NIH HHS R01 DK064695
6 · The paper itself

Abstract

backgroundRisk stratification is critical in heart failure (HF) and the Meta-Analysis Global Group in Chronic HF (MAGGIC) score is a validated tool derived from ~40,000 patients. However, few of these patients self-identified as black, raising uncertainty regarding performance in blacks with HF. METHODS AND

resultsThis study analyzed a racially diverse group of 4046 patients (1646 black and 2400 white) from a single center from 2007 to 2015. Baseline characteristics were collected to tabulate MAGGIC score and test its discrimination and calibration within race groups. The primary end point was all-cause mortality. Death was detected using system records and the social security death master file. Discrimination was tested using Cox models of MAGGIC score stratified by race, and combined analysis including MAGGIC, race, and MAGGIC×race. Calibration was assessed using linear regression models and plots of observed versus predicted data. Overall, 901 (21%) patients died during 1-year follow-up. MAGGIC score discrimination was similar in both race groups in terms of C statistic (0.707±0.027 versus 0.725±0.014, for black versus white; P=0.556) and the hazard ratio (HR) per MAGGIC point was 1.12 in black patients (95% CI, 1.10-1.14) and 1.13 in white patients (95% CI, 1.12-1.14). Race was a significant correlate of survival, with better survival in black patients compared with white (HR, 0.66; 95% CI, 0.56-0.78), but the interaction of MAGGIC×race was not significant (β=-0.013; P=0.16), and adding race to the model did not improve discrimination (C statistic for MAGGIC versus MAGGIC+race, 0.721 versus 0.722; P=0.79). In calibration testing, the slope was not significantly different from 1 in either group, but the groups differed from each other, and it was closer to unity among black patients (0.94 versus 1.4; P=0.004).

conclusionsThese data support the use of the MAGGIC score to risk stratify black patients with HF.

Indexed as

Black or African AmericanDecision Support TechniquesHealth Status DisparitiesHealth Status IndicatorsWhite PeopleAgedAged, 80 and overChronic DiseaseFemaleHealthcare DisparitiesHeart FailureHumansMaleMichiganMiddle AgedPredictive Value of Testsheart failurelinear models racerisk

Identifiers

PMID31266369
PMCPMC6613810
OpenAlexW2953889218

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Registered trials

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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.