Evidence map›Paper›PMID 37425456›Full record

ArticleJTCVS open2023

Aortic shape variation after frozen elephant trunk procedure predicts aortic events: Principal component analysis study.

Michal Schäfer, Adam Carroll, Kody K Carmody, Kendall S Hunter, Alex J Barker, Muhammad Aftab, T Brett Reece

Open access · goldAbstract read
In one paragraph

Article in JTCVS open, 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
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Michal SchäferDivision of Cardiology, Heart Institute, Children's Hospital Colorado, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Adam CarrollDepartment of Surgery, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Kody K CarmodyDivision of Cardiology, Heart Institute, Children's Hospital Colorado, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Kendall S HunterDepartment of Bioengineering, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Alex J BarkerDepartment of Bioengineering, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Muhammad AftabDivision of Cardiothoracic Surgery, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
T Brett ReeceDivision of Cardiothoracic Surgery, University of Colorado Denver Anschutz Medical Campus, Denver, Colo.
Children's Hospital Colorado · USUniversity of Colorado Denver · USUniversity of Colorado Anschutz Medical Campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The frozen elephant trunk procedure is a well-established technique for the repair of type A ascending aortic dissection and complex aortic arch pathology. The ultimate shape created by the repair may have consequences in long-term complications. The purpose of this study was to apply a machine learning technique to comprehensively describe 3-dimensional aortic shape variations after the frozen elephant trunk procedure and associate these variations with aortic events. Methods: Computed tomography angiography acquired before discharge of patients (n = 93) who underwent the frozen elephant trunk procedure for type A ascending aortic dissection or ascending aortic arch aneurysm was preprocessed to yield patient-specific aortic models and centerlines. Aortic centerlines were subjected to principal component analysis to describe principal components and aortic shape modulators. Patient-specific shape scores were correlated with outcomes defined by composite aortic event, including aortic rupture, aortic root dissection or pseudoaneurysm, new type B dissection, new thoracic or thoracoabdominal pathologies, residual descending aortic dissection with residual false lumen flow, or thoracic endovascular aortic repair complications. Results: The first 3 principal components accounted for 36.4%, 26.4%, and 11.6% of aortic shape variance, respectively, and cumulatively for 74.5% of the total shape variation in all patients. The first principal component described variation in arch height-to-length ratio, the second principal component described angle at the isthmus, and the third principal component described variation in anterior-to-posterior arch tilt. Twenty-one aortic events (22.6%) were encountered. The degree of aortic angle at the isthmus described by the second principal component was associated with aortic events in logistic regression (hazard ratio, 0.98; 95% confidence interval, 0.97-0.99; Conclusions: The second principal component, describing angulation at the region of the aortic isthmus, was associated with adverse aortic events. Observed shape variation should be evaluated in the context of aortic biomechanical properties and flow hemodynamics.

Indexed as

frozen elephant trunkprincipal component analysisshapesorta

Identifiers

PMID37425456
PMCPMC10328758
OpenAlexW4318955891

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.