Percutaneous Transcatheter Edge-to-Edge Mitral Valve Repair With MitraClip System in the Era of G4
Bibliographic record
Abstract
The use of transcatheter edge-to-edge mitral valve repair (TEER) in symptomatic patients with severe mitral regurgitation (MR) has dramatically increased over the last few years. Current guidelines consider TEER as a reasonable option in symptomatic patients with primary or chronic secondary severe MR with high or prohibitive surgical risk and favorable anatomy. However, several anatomical and morphological mitral features have restricted the use of this mini-invasive technique in its early experience. The latest fourth generation (G4) of the MitraClip system has been recently introduced and includes the possibility of independent leaflet grasping and 4 different sizes. This technical update offers the possibility of selecting and combining multiple devices for complex mitral valve anatomies and challenging procedures, which helps expand the applications of TEER. The present review describes the potential advantages and the help of the MitraClip G4 devices to overcome various anatomic and morphologic issues in challenging cases with complex primary and secondary MR procedures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".