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Record W4379231351 · doi:10.1016/j.ejvsvf.2023.05.016

Lobar Torsion Following Open Repair of Type B Aortic Dissection and Thoracoabdominal Aortic Aneurysm in a Patient with Marfan Syndrome

2023· article· en· W4379231351 on OpenAlexaff
Yousef Al-Mutawa, Diana E. Olaya, Gao S. Huang, Marta Kamińska, Joséphine Pressacco, Jonathan Spicer, Oren K. Steinmetz

Bibliographic record

VenueEJVES Vascular Forum · 2023
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsUniversité de MontréalMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicineSurgeryMarfan syndromeRadiologyAortic aneurysmAortic dissectionAneurysmAorta

Abstract

fetched live from OpenAlex

Introduction: Lobar torsion is a rare, challenging diagnosis that requires a high index of suspicion and prompt investigation and management. Detection and urgent fixation or lung resection are critical to avoid catastrophic sequelae of lung necrosis, bronchopleural fistulae, and death. Report: A case of lobar torsion following open repair of a type B aortic dissection and thoraco-abdominal aortic aneurysm in a patient with Marfan syndrome is presented. After a non-specific constellation of symptoms, the diagnosis was confirmed with computed tomography and bronchoscopic findings and the patient underwent detorsion and plication of a torted, yet viable, left upper lobe on post-operative day 6. The patient is currently being followed with serial imaging to follow a necrotic consolidation of the left upper lobe. Discussion: This was a case of lobar torsion in a patient with Marfan syndrome and the degree of connective tissue disease may have predisposed the patient to this rare surgical complication. The case presents a challenging dilemma due to the risks associated with exposing a synthetic aortic graft to a potentially infected space if lobar resection or a pneumonectomy was performed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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