Takayasu Arteritis and Left Main Disease Treated with Zotarolimus DrugEluting Stents, after Paclitaxel-based Angioplasty and The Use of Sirolimus
Bibliographic record
Abstract
A case of Takayasu arteritis with left main disease is described.Intrastent restenosis occurred one year after the first percutaneous coronary angioplasty (PCI) with a drug-eluting stent (everolimus).After suppression of the active disease with immunosuppressive therapy, and sirolimus added, a second PCI were performed with zotarolimusbased DES, after pre-dilatation with paclitaxel-based balloon angioplasty.Control coronary angiography with optic coherence tomography performed two months later confirmed no restenosis.This is the first case of effective local use of two different antiproliferative agents during angioplasty and effective systemic use of sirolimus in Takayasu's disease with coronary involvement.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".