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Record W4379743035 · doi:10.1016/j.atssr.2023.05.008

Stent Graft Migration Causing Two Aortic Wall Injuries 10 Years After Type II Hybrid Arch Repair

2023· article· en· W4379743035 on OpenAlexaff
David G. Guzzardi, Daniyil A. Svystonyuk, Eric Herget, Kenton Rommens, R. Scott McClure

Bibliographic record

VenueAnnals of Thoracic Surgery Short Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryMcMaster University
Fundersnot available
KeywordsMedicineArchStentElephant trunksDescending aortaAscending aortaAortic archSurgeryAortaThoracic aorta

Abstract

fetched live from OpenAlex

Hybrid arch repair (HAR) combines surgical reconstruction of the ascending aorta and arch debranching with stent graft deployment into the descending thoracic aorta in an effort to reduce the morbidity associated with conventional open total arch replacement. We describe a case of delayed presentation for 2 thoracic aortic wall injuries caused by stent graft migration after type II HAR. This report highlights an important late complication of HAR and the need for careful device selection. It also underlines the importance of lifelong imaging surveillance for patients undergoing complex aortic arch reconstruction.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.091
GPT teacher head0.382
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2023
Admission routes1
Has abstractyes

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