MétaCan
Menu
Back to cohort
Record W4416106134 · doi:10.1177/02676591251395484

Urgent cardiopulmonary bypass for the management of intrabronchial descending aortic aneurysm rupture

2025· article· en· W4416106134 on OpenAlexaff
Martin A. Bennett, Brad Schultz, Ben Turner, Catherine Deshaies, Igor E. Konstantinov, Edward Buratto

Bibliographic record

VenuePerfusion · 2025
Typearticle
Languageen
FieldMedicine
TopicInfectious Aortic and Vascular Conditions
Canadian institutionsIzaak Walton Killam Health CentreDalhousie UniversityRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsCardiopulmonary bypassAneurysmMycotic aneurysmSuctionAortic aneurysmMechanical ventilationDescending aortaAortaElephant trunks

Abstract

fetched live from OpenAlex

IntroductionMycotic thoracic aneurysms in children are rare and carry high mortality, particularly when complicated by erosion into adjacent pulmonary structures. Early recognition and surgical intervention are essential to prevent catastrophic outcomes.Case ReportA 14-year-old presented with respiratory symptoms. Imaging revealed a large mycotic aneurysm of the aorta with compression of multiple mediastinal structures. During induction of anaesthesia, aneurysm rupture caused haemoptysis and hypovolemic arrest. Emergent femoral cannulation enabled initiation of cardiopulmonary bypass and novel use of endotracheal suction with autologous cell salvage facilitated surgical exposure and successful aneurysm repair.DiscussionThoracic mycotic aneurysms present diagnostic complexity and potential catastrophic outcomes. In this patient, rapid multidisciplinary coordination, dual-arterial cannulation and intraoperative blood-salvage techniques proved critical to restoring circulation and achieving surgical control.ConclusionThoracic mycotic aneurysms in children require extreme vigilance and adaptable surgical strategies. This case demonstrates that survival is possible with innovative management in the face of life-threatening complications.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.280
Teacher spread0.269 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuePerfusionSame topicInfectious Aortic and Vascular ConditionsFrench-language works237,207