Evidence map›Paper›PMID 37014339›Full record

ArticleJAMA2023

Differences in Treatment Patterns and Outcomes of Acute Myocardial Infarction for Low- and High-Income Patients in 6 Countries.

Bruce E Landon, Laura A Hatfield, Pieter Bakx, Amitava Banerjee, Yu-Chin Chen, Christina Fu, Michal Gordon, Renaud Heine, Nicole Huang, Dennis T Ko and 9 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Socioeconomic factors and SGLT2 inhibitor initiation in patients with heart failure-a claims data analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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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

19 authors at 12 institutions in 6 countries.

Bruce E LandonDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Laura A HatfieldDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Pieter BakxErasmus School of Health Policy and Management, Erasmus University, Rotterdam, the Netherlands.
Amitava BanerjeeInstitute of Health Informatics, University College London, London, England.
Yu-Chin ChenInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan.
Christina FuDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Michal GordonClinical Research Center, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beersheba, Israel.
Renaud HeineErasmus School of Health Policy and Management, Erasmus University, Rotterdam, the Netherlands.
Nicole HuangInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan.
Dennis T KoSchulich Heart Program, Sunnybrook Health Sciences Centre, Sunnybrook Research Institute Toronto, Ontario, Canada.
Lisa M LixDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Victor NovackInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan.
Laura PaseaInstitute of Health Informatics, University College London, London, England.
Feng QiuDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Therese A StukelICES, Toronto, Ontario, Canada.
Carin Uyl-de GrootErasmus School of Health Policy and Management, Erasmus University, Rotterdam, the Netherlands.
Lin YanDepartment of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Gabe WeinrebDepartment of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
Peter CramICES, Toronto, Ontario, Canada.
Erasmus University Rotterdam · NLHarvard University · USBeth Israel Deaconess Medical Center · USNational Yang Ming University Hospital · TWUniversity of Manitoba · CABen-Gurion University of the Negev · ILInstitute for Clinical Evaluative Sciences · CANational Yang Ming Chiao Tung University · TWRoyal London Hospital · GBSunnybrook Research InstituteThe University of Texas Medical Branch at Galveston · USUniversity College London · GB

Funding

Comparing hospitalization rates, outcomes, and treatment intensity for elderly patients across OECD countriesR01AG058878 · NIA · HARVARD MEDICAL SCHOOL · PI Peter M Cram, Bruce E. Landon · 2019 to 2026
$3.4M
NIA NIH HHS R01 AG058878
6 · The paper itself

Abstract

Importance: Differences in the organization and financing of health systems may produce more or less equitable outcomes for advantaged vs disadvantaged populations. We compared treatments and outcomes of older high- and low-income patients across 6 countries. Objective: To determine whether treatment patterns and outcomes for patients presenting with acute myocardial infarction differ for low- vs high-income individuals across 6 countries. Design, Setting, and Participants: Serial cross-sectional cohort study of all adults aged 66 years or older hospitalized with acute myocardial infarction from 2013 through 2018 in the US, Canada, England, the Netherlands, Taiwan, and Israel using population-representative administrative data. Exposures: Being in the top and bottom quintile of income within and across countries. Main Outcomes and Measures: Thirty-day and 1-year mortality; secondary outcomes included rates of cardiac catheterization and revascularization, length of stay, and readmission rates. Results: We studied 289 376 patients hospitalized with ST-segment elevation myocardial infarction (STEMI) and 843 046 hospitalized with non-STEMI (NSTEMI). Adjusted 30-day mortality generally was 1 to 3 percentage points lower for high-income patients. For instance, 30-day mortality among patients admitted with STEMI in the Netherlands was 10.2% for those with high income vs 13.1% for those with low income (difference, -2.8 percentage points [95% CI, -4.1 to -1.5]). One-year mortality differences for STEMI were even larger than 30-day mortality, with the highest difference in Israel (16.2% vs 25.3%; difference, -9.1 percentage points [95% CI, -16.7 to -1.6]). In all countries, rates of cardiac catheterization and percutaneous coronary intervention were higher among high- vs low-income populations, with absolute differences ranging from 1 to 6 percentage points (eg, 73.6% vs 67.4%; difference, 6.1 percentage points [95% CI, 1.2 to 11.0] for percutaneous intervention in England for STEMI). Rates of coronary artery bypass graft surgery for patients with STEMI in low- vs high-income strata were similar but for NSTEMI were generally 1 to 2 percentage points higher among high-income patients (eg, 12.5% vs 11.0% in the US; difference, 1.5 percentage points [95% CI, 1.3 to 1.8 ]). Thirty-day readmission rates generally also were 1 to 3 percentage points lower and hospital length of stay generally was 0.2 to 0.5 days shorter for high-income patients. Conclusions and Relevance: High-income individuals had substantially better survival and were more likely to receive lifesaving revascularization and had shorter hospital lengths of stay and fewer readmissions across almost all countries. Our results suggest that income-based disparities were present even in countries with universal health insurance and robust social safety net systems.

Indexed as

Myocardial InfarctionAgedCardiac CatheterizationCoronary Artery BypassCross-Sectional StudiesHospitalizationHumansInternationalityLength of StayMyocardial RevascularizationNon-ST Elevated Myocardial InfarctionPatient ReadmissionPovertySocioeconomic FactorsST Elevation Myocardial InfarctionTreatment Outcome

Identifiers

PMID37014339
PMCPMC10074220
OpenAlexW4362522301

What OpenQuestion holds

Textmetadata
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.