In Vivo Thrombogenicity of Embolic Protection Systems for Angioplasty and Stenting
Bibliographic record
Abstract
SUMMARY: Despite the increasing use of embolic protection systems (EPS) for carotid stenting, their intrinsic in vivo thrombogenicity remains unknown. We studied three different types of EPS (n = 24) deployed in the carotid arteries of pigs in which pools of platelets and fibrinogen were labelled with (111)In and (125)I. The amount of clot deposition seen on photography was also scored using a qualitative scale. EPS made of fabric nets under normal flow conditions were 5-6 and 15-16 times more thrombogenic (for both platelet (P=.04) and fibrin (P=.007)) than Nitinol mesh nets. Clot deposition on Nitinol mesh nets was more abundant under flow arrest than under normal flow conditions (P=.018). EPS differ in intrinsic thrombogenicity, a characteristic of the material that could be investigated in pre-clinical studies designed to optimize devices.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".