Evidence map›Paper›PMID 39132585›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions2024

Racial/Ethnic, Sex, and Economic Disparities in the Utilization and Outcomes of Intracoronary Imaging.

Mahmoud Ismayl, Hasaan Ahmed, Andrew M Goldsweig, Mohamad Alkhouli, Abhiram Prasad, Mayra Guerrero

Abstract read
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions, 2024. 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. Article
  2. Article
  3. Article
  4. Article
  5. Intracoronary Imaging: Blind to Color and Sex but Not Income or Insurance.Journal of the Society for Cardiovascular Angiography & Interventions · 2024
    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

6 authors.

Mahmoud IsmaylDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Hasaan AhmedDepartment of Internal Medicine, Creighton University School of Medicine, Omaha, Nebraska.
Andrew M GoldsweigDepartment of Cardiovascular Medicine, Baystate Medical Center, Springfield, Massachusetts.
Mohamad AlkhouliDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Abhiram PrasadDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
Mayra GuerreroDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intracoronary imaging-guided percutaneous coronary intervention (PCI) is associated with improved outcomes compared with angiography-guided PCI. Data on racial/ethnic, sex, and economic disparities in the utilization and outcomes of intracoronary imaging in the United States are scarce. Methods: We analyzed the National Inpatient Sample (2016-2020) to examine racial/ethnic, sex, and economic differences in the utilization of intracoronary imaging among patients who underwent PCI. Trends, in-hospital mortality, and safety of intracoronary imaging were also assessed. Results: Among 2,212,595 weighted hospitalizations for PCI, 204,735 (9.2%) included intracoronary imaging. The utilization rate of intracoronary imaging was similar in Black and Hispanic patients compared with White patients (9.8% vs 10.2% vs 10.0%; Conclusions: Low and medium income are independently associated with lower intracoronary imaging use in PCI compared with high income. Further studies are needed to identify effective strategies to mitigate economic disparities in intracoronary imaging use.

Indexed as

economic disparitiesintracoronary imagingintravascular ultrasoundpercutaneous coronary angiographyracial disparitiessex disparities

Identifiers

PMID39132585
PMCPMC11308510

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.