Evidence map›Paper›PMID 38939022›Full record

ArticleJACC. Advances2023

Association of Race and Ethnicity With Obstructive Coronary Artery Disease.

Jasjit Rooprai, Feng Qiu, Joan Porter, Husam Abdel-Qadir, Lucas C Godoy, Cynthia A Jackevicius, Douglas S Lee, Mina Madan, Baiju R Shah, Maneesh Sud and 2 more

Abstract read
In one paragraph

Article in JACC. Advances, 2023. 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
–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

5 citing papers in PubMed.

  1. How Sex and Race/Ethnicity Influence Interventional Cardiology Outcomes: What Do We Know?Journal of the Society for Cardiovascular Angiography & Interventions · 2026
    Review
  2. Article
  3. Article
  4. JACC. Advances · 2023
    Article
  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

12 authors.

Jasjit RoopraiICES, Toronto, Ontario, Canada.
Feng QiuICES, Toronto, Ontario, Canada.
Joan PorterICES, Toronto, Ontario, Canada.
Husam Abdel-QadirICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Ontario, Canada; Peter Munk Cardiac Centre of University Health Network, Toronto, Ontario, Canada; Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada; Women's College Hospital, Toronto, Ontario, Canada.
Lucas C GodoyICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Peter Munk Cardiac Centre of University Health Network, Toronto, Ontario, Canada; Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil.
Cynthia A JackeviciusICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; College of Pharmacy, Western University of Health Sciences, Pomona, California, USA; Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Douglas S LeeICES, Toronto, Ontario, Canada; Peter Munk Cardiac Centre of University Health Network, Toronto, Ontario, Canada; Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada.
Mina MadanDepartment of Medicine, University of Toronto, Ontario, Canada; Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Baiju R ShahICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Maneesh SudICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Ontario, Canada; Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Harindra C WijeysunderaICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Ontario, Canada; Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Dennis T KoICES, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, Canada; Department of Medicine, University of Toronto, Ontario, Canada; Schulich Heart Centre, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada. Electronic address: dennis.ko@ices.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Appropriate selection of patients with stable coronary artery disease (CAD) for coronary angiography is dependent on the pretest probability of obstructive CAD; however, little is known about the potential differences in CAD by race and ethnic groups. Objectives: The purpose of this study was to evaluate the association of race and ethnicity with coronary obstruction in stable CAD. Methods: We evaluated first coronary angiography for CAD evaluation between 2012 and 2019 in Ontario, Canada. Race and ethnicity were identified by physicians. The main outcome was the rate of obstructive CAD (left main stenosis ≥50% or major epicardial vessel stenosis ≥70%). Multivariable logistic regression analyses evaluated the independent association of race and ethnicity with CAD. Results: Among 71,199 CAD patients, 14.0% were South Asian (SA), 4.4% were East Asian (EA), and 58,131 were White patients. SA patients were the youngest at 60.9 years vs 62.4 years for EA patients and 65.1 years for White patients but were most likely to have obstructive CAD (46.9%) (EA 43.0% and White patients 37.9%). SA patients had the highest prevalence of 3-vessel CAD at 13.4% (vs 12.5% in EA and 7.7% in White patients). The adjusted odds ratio was 67% higher (1.67; 95% CI: 1.59 to 1.75) for having obstructive CAD in SA patients than that in White patients. EA patients also had significantly increased adjusted odds of obstructive CAD compared with White patients (1.40; 95% CI: 1.29-1.52). Conclusions: SA patients were younger at presentation but had the highest adjusted odds of obstructive CAD. Incorporation of race and ethnicity information may improve risk-prediction tools for detection of coronary obstruction.

Indexed as

coronary angiographycoronary artery diseaseethnicityrace

Identifiers

PMID38939022
PMCPMC11198462

What OpenQuestion holds

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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.