A Practical Approach to Combined Transcatheter Mitral and Tricuspid Valve Intervention
Bibliographic record
Abstract
Concomitant tricuspid regurgitation (TR) is common in patients with mitral regurgitation (MR). While current guidelines recommend repair of both valves at the time of surgery when feasible, high risk patients are often undertreated, leading to significant morbidity and mortality. With advances in transcatheter edge-to-edge repair (TEER) devices and technique, combined TEER for treating significant MR and TR has emerged as a new tool for heart failure management. Recent evidence has shed light on which patients with severe TR should be targeted for transcatheter intervention either in isolation or in combination with a MV TEER procedure and allows for expanded treatment options in patients who otherwise would be limited to medical management. Technological advancements remain ahead of robust clinical data, and thus randomized clinical studies in patients with severe MR and TR will be instrumental in determining the best approach in treating these patients with transcatheter therapies.
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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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".