Percutaneous transcatheter aortic valve implantation: present and future perspective
Bibliographic record
Abstract
Transcatheter aortic-valve implantation is becoming the standard of care for inoperable patients with severe aortic stenosis and a valid alternative for those at high surgical risk. Since the first percutaneous transcatheter aortic-valve implantation in humans in 2002, over 50,000 transcatheter aortic valves have been implanted in the last decade, with progressive improvement in the available devices. Overall, there are two main families of transcatheter prosthesis: self-expandable and nonself-expandable. The self-expandable devices, for which CoreValve(®) (Medtronic CV Luxembourg S.a.r.l., Luxembourg) represents the prototype, are characterized by a structure composed of shape memory materials, usually nitinol, which acquire its final shape once released. By contrast, the non-self-expandable prostheses, mainly represented by the Edwards(®) valve (Edwards Life Sciences, Inc., CA, USA), require balloon dilatation to reach its final shape. Although several publications have already provided positive data on both technologies, new clinical studies with improved systems are currently being conducted in order to provide more solid data and potentially expand the spectrum of patients who can benefit from this therapy. Thus, the aim of the present paper is to review the salient features of the two most used systems today (third-generation CoreValve and Edwards SAPIEN XT(®)) as well as to provide data on other emerging valves and future perspectives.
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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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".