Evidence map›Paper›PMID 40101334›Full record

ArticleThe Journal of surgical research2025

Predictors of Radial Artery Use in Coronary Bypass Grafting: A Multi-institutional Cohort Study.

Sean W W Noona, Steven D Young, Andrew M Young, Raymond J Strobel, Matthew P Weber, Ebun Ajadi, Mohammed Quader, Mark Joseph, Leora T Yarboro, Kenan Yount and 2 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of surgical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sean W W NoonaDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia. Electronic address: swn5dv@uvahealth.org.
Steven D YoungDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Andrew M YoungDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Raymond J StrobelDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Matthew P WeberDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Ebun AjadiDivision of Cardiothoracic Surgery, Department of Surgery, Carilion Clinic, Roanoke, Virginia.
Mohammed QuaderDepartment of Cardiothoracic Surgery, Virginia Commonwealth University, Richmond, Virginia.
Mark JosephDivision of Cardiothoracic Surgery, Department of Surgery, Carilion Clinic, Roanoke, Virginia.
Leora T YarboroDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Kenan YountDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Nicholas R TemanDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.
Jared P BellerDivision of Thoracic and Cardiovascular Surgery, Department of Surgery, University of Virginia, Charlottesville, Virginia.

Funding

Cardiovascular Surgery Training ProgramT32HL007849 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI KRON, IRVING L., LAUBACH, VICTOR E · 1998 to 2025
$7.0M
NHLBI NIH HHS T32 HL007849
6 · The paper itself

Abstract

introductionTo explore trends and analyze clinical and angiographic predictors of radial utilization in patients undergoing isolated coronary artery bypass grafting (CABG).

methodsWe analyzed data from 17,352 patients undergoing isolated CABG (January 1, 2017, to December 31, 2022) in a regional Society of Thoracic Surgeons Adult Cardiac Surgery Database linked with the National Cardiovascular Data Registry CathPCI registry. Multivariable logistic regression assessed predictors of radial artery (RA) use.

resultsRadial artery grafts (RAGs) were used in 1745 patients (10.0%). Utilization increased from 3.34% (2017) to 14.24% (2022) (P < 0.001). Patients receiving RAGs were younger (60 [53-67] versus 67 [60-73] y, P < 0.001), had lower predicted risk of morbidity or mortality (6% versus 9%, P < 0.001), and lower incidence of heart failure (25% versus 32%, P < 0.001). Predictors of RA use included higher preoperative ejection fraction (odds ratio [OR] 1.18 [1.10-1.27], P < 0.001), male sex (OR 1.72 [1.44-2.05], P < 0.001), and increasing surgery year (OR 1.38 [1.33-1.44], P < 0.001). Conversely, severe chronic kidney disease (OR 0.30 [0.18-0.49], P < 0.001), older age (OR 0.56 [0.52-0.60], P < 0.001), and higher predicted risk of morbidity or mortality (OR 0.79 [0.71-0.89], P < 0.001) decreased likelihood of receiving a RAG. Critical lesion stenosis (≥90%) did not predict RA use (OR 1.06 [0.78-1.44], P = 0.70).

conclusionsRA use in CABG remains limited, predominantly in younger, healthier patients. These findings suggest surgeons likely consider clinical and potential long-term benefits in choosing radial grafting. Understanding relative predictors of radial grafting could enhance CABG outcomes across patient demographics.

Indexed as

Coronary Artery BypassCoronary Artery DiseaseRadial ArteryAgedAge FactorsFemaleHumansMaleMiddle AgedPostoperative ComplicationsRegistriesRetrospective StudiesRisk FactorsACC/AHA/SCAI coronary revascularization guidelinesCoronary artery bypass grafting (CABG)Multiple arterial graftingRadial artery grafting

Identifiers

PMID40101334
PMCPMC13490984

What OpenQuestion holds

Textmetadata
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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.