Review of stent coating strategies: Clinical insights
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite advances in stent design, expansion techniques and anti-thrombotic agents to improve pharmacological control of subacute thrombosis (SAT) and to reduce to 2 the occlusive thrombosis rates, a significant risk of mortality associated with thrombotic vascular occlusion due to the adhesion of blood constituents remains a problem for patients with more complex lesions. The adhesion process is greatly governed by the surface characteristics, mainly the surface chemical composition, surface morphology, presence of charge, surface wettability and surface roughness. Surface chemical inertness (reduced interaction with chemicals and biological components) subsequently became the primary criteria which guided the development of non thrombotic stents as well as other blood-contacting materials. A number of strategies have been adopted in an effort to coat the stent with or without the use of a drug delivery system, to overcome the thrombus formation, to minimize the stent occlusion and to improve the overall hemocompatibility of the device. This paper aims at reviewing the clinical outcomes of main non-pharmaceutical stent coating procedures and their clinical outcomes. New stents which combine the anti-thrombotic coating with the drug delivery ability, such as radioactive stents, degradable stents and some new challenging trends which are mostly at research and development stage for stent surface coatings are also introduced.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it