Abstract 17076: A Novel Polymer-Free Ciglitazone-Eluting Stent Inhibits Neointimal Proliferation Stronger than Sirolimus-Eluting Stents: An Experimental Study Using Optical Coherence Tomography in Rabbit Iliacal Arteries
Bibliographic record
Abstract
Background: Drug-eluting stents (DES) are currently the best choice to reduce restenosis at long-term follow-up after percutaneous coronary interventions. Optical coherence tomography (OCT) is a high-resolution intravascular imaging technique that accurately distinguishes the various layers of the arterial wall, plaque composition and stent struts, allowing to precisely quantify the extent of neointimal proliferation . Objective: To investigate ciglitazone, a peroxisome proliferator-activated receptor-gamma agonist as a novel stent coating. Methods: Bare metal stents Yukon Choice 2.5/12 mm with microporous surface (BMS) were polymer-free coated with either sirolimus (SES) or ciglitazone (CES) at 225 mcg/cm. Twelve New Zealand White rabbits fed with high cholesterol western diet underwent implantation of different stents in both common iliacal arteries via the carotid artery. The animals were equally divided into 2 groups: BMS vs. SES and BMS vs. CES. After 90 days of dual antiplatelet therapy stents were ...
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".