Evidence map›Paper›PMID 41742137›Full record

ArticleBMC surgery2026

Trends in Open Aortic Valve Surgery in the United States: Descriptive Analysis of Sociodemographic Factors in Patient Selection.

Élan Burton, Ben Marafino, Katharine Casselman Pines, Tim Morrison, Matthew Chuan-Tai Groeneveld, Michael Baiocchi

Abstract read
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Article in BMC surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Élan BurtonDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, 870 Quarry Rd Ext 2nd Floor Falk Bldg, CA, Palo Alto, 94304, USA. eemn2013@stanford.edu.ORCID http://orcid.org/0000-0001-6062-709X
Ben MarafinoDivision of Research, Kaiser Permanente, Oakland, CA, USA.
Katharine Casselman PinesDepartment of Cardiothoracic Surgery, Stanford University School of Medicine, 870 Quarry Rd Ext 2nd Floor Falk Bldg, CA, Palo Alto, 94304, USA.
Tim MorrisonDepartment of Statistics, Stanford University, Palo Alto, CA, USA.
Matthew Chuan-Tai GroeneveldDepartment of Statistics, Stanford University, Palo Alto, CA, USA.
Michael BaiocchiDepartment of Statistics, Stanford University, Palo Alto, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally invasive surgical approaches offers patient benefit, such as expedited recovery, and could reduce hospital cost. This study examines how sociodemographic factors influences surgical approach for aortic valve surgery.

methodsWe used data from The Society of Thoracic Surgeons' database to model selection into minimally invasive surgery vs. traditional sternotomy. Pair-matches were created between two identity types: male-vs-female sex and White-vs-Black race. Patients were matched on facility and other covariates. These pair-matches were summarized using generalized linear mixed models (logit-link), regressing surgery type on the relevant identity, with random effects for facility and matched pair. Additionally, a regional analysis summarizing variation in the mortality-risk profiles of patients was conducted.

resultsFrom 2015 to 2020, of the patients that met inclusion criteria, 68,956 patients underwent traditional sternotomy and 23,811 underwent minimally invasive surgery. For matched pairs of the examined covariate, the null hypothesis was that each patient would have the same odds of receiving each surgical approach. Our models estimate the odds ratio for receiving the minimally invasive surgery are 1.13 and 1.56 times higher for female and White patients respectively (both p-values <= 0.005). We also identified regional variation across levels of mortality-risk score and race.

conclusionsOur study demonstrates a pattern of variation in sorting in minimally invasive surgical aortic valve replacement vs traditional sternotomy via patient sex and race. These findings infer non-medical features guide patient candidacy for surgical approach, even within the same facility.

Indexed as

Aortic ValveMinimally Invasive Surgical ProceduresPatient SelectionSternotomyAgedBlack or African AmericanFemaleHumansMaleMiddle AgedSociodemographic FactorsUnited StatesWhiteaortic valve replacementhealth disparityhealth equityminimally invasive surgery

Identifiers

PMID41742137
PMCPMC13041147

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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.