Recent Advancements in Pharmacological Stent Therapy Using Polymeric Materials: Opportunities and Challenges
Bibliographic record
Abstract
Percutaneous transvascular coronary angioplasty and stenting is one of the most commonly employed interventional procedures for the treatment of occlusive coronary artery disease. The common long-term complication of this treatment is re-stenosis occuring at the site of the atherosclerotic lesion following stenting. The rate of re-stenosis within 6 months could be as high as 20-30% of patients resulting in increased morbidity and tremendous costs to the health care system. The incidence has been somewhat reduced with the development of drug eluting stents, releasing drugs like paclitaxel, sirolimus, zotarolimus and everolimus with varied sustained release profiles. However the long-term benefits from large studies are still controversial and delayed onset of thrombosis is a major ongoing concern and lifelong anti-platelets therapy has been suggested clinically in patients bearing such pharmacological stents. Drug-eluting polymeric bioresorbable stent is being considered to hold immense promise to effectively address such pertinent complications mainly because of its improved biocompatibility, transient nature of supporting the intervened artery, eliminating local effect and damage of permanent metals, allowing smoother restoration of vasoreactivity and physiologic healing, and higher local drug delivery capacity in comparison to permanent metallic stents. In this article we review the current standpoint of drug eluting metallic stent, which has so long been considered as a major medical innovation in the field of pharmaceutical sciences, and its rapid evolution to pharmacological bioresorbable stent in order to promote proper vascular remodeling and achieve better risk-benefit ratio under diverse clinical challenges.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".