Evidence map›Paper›PMID 26369354›Full record

ArticleCirculation2015

Race, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction.

Emily M Bucholz, Shuangge Ma, Sharon-Lise T Normand, Harlan M Krumholz

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in Circulation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07032389 (Polypill Strategy for the Treatment of Patients After Acute Coronary Syndromes - A Multicenter Randomized Controlled Trial), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

NCT07032389 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Polypill Strategy for the Treatment of Patients After Acute Coronary Syndromes - A Multicenter Randomized Controlled Trial

TypeinterventionalSponsorUniversity of Texas Southwestern Medical CenterRan2025 to 2030Enrolled1,000ConditionsAcute Coronary SyndromeArmsPolypill
3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Advancing Health Equity in the Cardiovascular Device Life Cycle.Circulation. Cardiovascular quality and outcomes · 2025
    Review
  5. Population-Level Gaps in Coronary Artery Disease Care: A Focused Review.Methodist DeBakey cardiovascular journal · 2025
    Review
  6. Article
  7. Gender, racial and ethnic disparities in acute coronary syndromes with coronary in-stent restenosis.American heart journal plus : cardiology research and practice · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

4 authors.

Emily M BucholzFrom Yale School of Medicine, New Haven, CT (E.M.B.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (E.M.B.); Department of Biostatistics, Yale School of Public Health, New Haven, CT (S.M.); Department of Biostatistics, Harvard School of Public Health, and Department of Health Care Policy, Harvard Medical School, Boston, MA (S.-L.T.N.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven CT (H.M.K.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (H.M.K.); Robert Wood Johnson Clinical Scholars Program, Department of Medicine (H.M.K.); and the Section of Health Policy and Administration, School of Public Health, Yale University School of Medicine, New Haven, CT (H.M.K.).
Shuangge MaFrom Yale School of Medicine, New Haven, CT (E.M.B.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (E.M.B.); Department of Biostatistics, Yale School of Public Health, New Haven, CT (S.M.); Department of Biostatistics, Harvard School of Public Health, and Department of Health Care Policy, Harvard Medical School, Boston, MA (S.-L.T.N.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven CT (H.M.K.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (H.M.K.); Robert Wood Johnson Clinical Scholars Program, Department of Medicine (H.M.K.); and the Section of Health Policy and Administration, School of Public Health, Yale University School of Medicine, New Haven, CT (H.M.K.).
Sharon-Lise T NormandFrom Yale School of Medicine, New Haven, CT (E.M.B.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (E.M.B.); Department of Biostatistics, Yale School of Public Health, New Haven, CT (S.M.); Department of Biostatistics, Harvard School of Public Health, and Department of Health Care Policy, Harvard Medical School, Boston, MA (S.-L.T.N.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven CT (H.M.K.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (H.M.K.); Robert Wood Johnson Clinical Scholars Program, Department of Medicine (H.M.K.); and the Section of Health Policy and Administration, School of Public Health, Yale University School of Medicine, New Haven, CT (H.M.K.).
Harlan M KrumholzFrom Yale School of Medicine, New Haven, CT (E.M.B.); Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT (E.M.B.); Department of Biostatistics, Yale School of Public Health, New Haven, CT (S.M.); Department of Biostatistics, Harvard School of Public Health, and Department of Health Care Policy, Harvard Medical School, Boston, MA (S.-L.T.N.); Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven CT (H.M.K.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (H.M.K.); Robert Wood Johnson Clinical Scholars Program, Department of Medicine (H.M.K.); and the Section of Health Policy and Administration, School of Public Health, Yale University School of Medicine, New Haven, CT (H.M.K.). harlan.krumholz@yale.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Center for Cardiovascular Outcomes Research at Yale UniversityU01HL105270 · NHLBI · YALE UNIVERSITY · PI CURTIS, JEPTHA PELHAM, KRUMHOLZ, HARLAN MARC · 2010 to 2013
$5.8M
Long-term outcomes and life expectancy after acute myocardial infarctionF30HL120498 · NHLBI · YALE UNIVERSITY · PI BUCHOLZ, EMILY MARIE · 2014 to 2014
$40k
NHLBI NIH HHS F30 HL120498NHLBI NIH HHS F30HL120498-01A1NHLBI NIH HHS U01 HL105270NHLBI NIH HHS U01 HL105270-05NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32GM07205
6 · The paper itself

Abstract

backgroundPrevious studies have been unable to disentangle the negative associations of black race and low socioeconomic status (SES) with long-term outcomes of patients after acute myocardial infarction (AMI). Such information could assist in efforts to address both racial and socioeconomic disparities. METHODS AND

resultsWe used data from the Cooperative Cardiovascular Project, a prospective cohort study of Medicare beneficiaries hospitalized with AMI with 17 years of follow-up, to evaluate the relationship between race, area-level SES (measured by zip code-level median household income), and life expectancy after AMI. Life expectancy was estimated by using Cox proportional hazards regression with extrapolation using exponential models. Of the 141 095 patients with AMI, 6.3% were black and 6.8% resided in low-SES areas; 26% of black patients lived in low-SES areas in comparison with 5.7% of white patients. Post-myocardial infarction life expectancy estimates were shorter for black patients than for white patients across all socioeconomic levels in patients ≤ 75 years of age. After adjustment for patient and treatment characteristics, the association between race and life expectancy persisted but was attenuated. Younger black patients (<68 years) had shorter life expectancies than white patients, whereas older black patients had longer life expectancies. The largest white-black gap in life expectancy occurred in patients residing in high- and medium-SES areas (P=0.02 interaction).

conclusionsBlack and white patients residing in low-SES areas have similar life expectancies after AMI, which are lower than those living in higher-SES areas. Racial disparities were most prominent among patients living in high-SES areas.

Indexed as

Life ExpectancySocial ClassAgedAged, 80 and overAge FactorsBlack or African AmericanBlack PeopleFemaleFollow-Up StudiesHumansIncomeMaleMedicareMyocardial InfarctionPatient AdmissionPovertyfollow-up studiesmortalitymyocardial infarctionprognosissurvival

Identifiers

PMID26369354
PMCPMC5097251

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.