Evidence map›Paper›PMID 42869089›Full record

ArticleAorta (Stamford, Conn.)2026

Preoperative Risk-assessment Score for Elective Total Aortic Arch Repair: AAORTA Risk Tool.

Michael Tyler Guinn, Travis J Miles, Veronica A Glover, Susan Y Green, Lynna H Nguyen, Ginger M Etheridge, Lauren K Barron, Anna H Xue, Vicente Orozco-Sevilla, Subhasis Chatterjee and 2 more

Abstract read
In one paragraph

Article in Aorta (Stamford, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael Tyler GuinnBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Travis J MilesBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Veronica A GloverBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Susan Y GreenBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Lynna H NguyenBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Ginger M EtheridgeBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Lauren K BarronBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Anna H XueBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Vicente Orozco-SevillaBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Subhasis ChatterjeeBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Marc R MoonBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.
Joseph S CoselliBaylor College of Medicine, Michael E. DeBakey Department of Surgery, Texas, United States, Houston.ORCID 0000-0003-2176-5988

Funding

Research Training Program in Cardiovascular SurgeryT32HL139430 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Todd K Rosengart · 2018 to 2026
$2.9M
Baylor College of Medicine T32HL139430NHLBI NIH HHS T32 HL139430
6 · The paper itself

Abstract

Objective: Total transverse aortic arch replacement is a complex operation performed to address aortic aneurysm with and without chronic aortic dissection. To predict 90-day survival after this procedure, we created a holistic tool for predicting postoperative mortality in patients who undergo total arch repair (TAR): the Aortic Arch Operation Risk Tool for Assessment (AAORTA) score. Methods: Univariate and multivariate analyses were performed on data from patients ( Results: Of 470 patients who underwent TAR, 65 (13.8%) died within 90 days of repair. The AAORTA score relied on five preoperative variables: heritable thoracic aortic disease, prior coronary artery bypass grafting (CABG), kidney disease, pulmonary disease (restrictive or obstructive), and no history of smoking. Previous CABG was the strongest predictor of 90-day mortality. The AAORTA score had an AUROCC of 0.784, a Brier score of 0.105, and a goodness-of-fit Conclusion: The AAORTA score can accurately stratify 90-day mortality risk in patients who undergo elective TAR, using only five variables easily acquired during standard preoperative evaluation. This score could be used to aid preoperative counseling with patients and families. Prospective multicenter validation will help establish its generalizability.

Identifiers

PMID42869089
PMCPMC13662675

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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.