Hybrid Off-Pump Debranching and Thoracic Endovascular Arch Repair in a High-Risk Surgical Patient
Bibliographic record
Abstract
Management of aortic arch pathologies remains challenging. Open total arch replacements have been associated with significant morbidity and mortality owing to the need for cardiopulmonary bypass and circulatory arrest. On the other hand, aortic arch branched stent grafts are not widely available. In this context, hybrid techniques combining open arch debranching with endovascular graft placement have been identified as an attractive option in select patients. However, there still is a paucity of literature on their application and outcomes. A case is presented of an elderly frail patient diagnosed with a pseudoaneurysm of the aortic arch and who was successfully treated by an off-pump arch debranching followed by endovascular arch repair. This case highlights (i) the feasibility of hybrid debranching techniques, (ii) their technical challenges, and (iii) the need for long-term follow-up data.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".