Preventing Distal Embolization of Coils After Therapeutic Graft Closure
Bibliographic record
Abstract
Patients with coronary artery bypass surgery will invariably experience graft failure. In this setting, treatment of the native vessel is recommended. After successful native vessel intervention, competitive flow from a patent graft may limit the durability of native vessel intervention, and thus therapeutic graft closure is usually recommended. Graft closure is frequently achieved with coils, but a recognized complication with coils is distal embolization during or after deployment. The presence of disease or tortuosity in grafts may allow stable deployment of coils and prevent this. However, with relatively patent grafts, it may be difficult to deploy coils without a risk of embolization. To overcome this problem, we propose a new technique where we strategically deploy and fashion a partially crushed stent in the body of the graft to serve as a plug to hold coils and prevent distal embolization, called the CRISP (CRushed In situ Stent Plug) technique.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 0.000 |
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.
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".