Bioresorbable vascular scaffold thrombosis in an all-comer patient population: single-center experience.
Bibliographic record
Abstract
Experience with bioresorbable vascular scaffolds (BVSs) outside clinical trials is scarce, and data from "real-world" use are needed. In particular, there are few data on scaffold thrombosis (ST). We report our experience with ST in our all-comer BVS population (n = 339) and review the literature on the topic. Four cases (1.2%) of early definite ST were identified. Multiple risk factors were present in all 4 cases. Optical coherence tomography ruled out mechanical causes of ST in 2 cases, whereas scaffold underexpansion was observed in 1 case. Twelve BVS series have been published to date. Total sample size includes 1393 patients, with 13 cases of definite ST (0.9%), which is similar to long-term second-generation drug-eluting stent thrombosis rate (1.0%). Eleven of these cases were early ST (8 during the first week). Six of these 11 cases occurred in patients who received a BVS in the setting of an acute coronary syndrome (ACS). It can be speculated that the prothrombotic milieu of ACS, coupled with the unfavorable peristrut rheology of BVSs, might promote ST early after implantation, particularly if other concomitant risk factors are present.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".