Combined transcatheter mitral and tricuspid edge-to-edge repair: expanding the horizons of interventional heart failure
Bibliographic record
Abstract
PURPOSE OF REVIEW: The combination of mitral regurgitation and tricuspid regurgitation is common in patients with multiple valvular disease and patient management can be challenging. Surgical combined mitral and tricuspid valve surgery is a treatment option for patients meeting criteria but has demonstrated inconsistent long-term benefits. RECENT FINDINGS: Transcatheter mitral and tricuspid edge-to-edge repair has demonstrated early promising results in patients with a prohibitive surgical risk, making it an interesting treatment option. The present review will discuss the physiopathology of this complex disease and contemporary data regarding treatment options for the treatment of combined mitral and tricuspid regurgitation. SUMMARY: Combined transcatheter mitral and tricuspid edge-to-edge repair is a novel treatment option for patients with multiple valvular disease. Further studies are needed to determine optimal patient selection and timing of intervention and demonstrate survival benefit and improvement in clinical outcomes. Advances in technology, with dedicated devices and enhanced imaging techniques may also improve patient outcomes.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".