Impact of Central vs. Noncentral Predominant Jet Location on Clinical Outcomes: Results From the EXPANDed Studies
Bibliographic record
Abstract
Background: Mitral transcatheter edge-to-edge repair (M-TEER) is a treatment option for patients with severe mitral regurgitation (MR) at a high surgical risk. Although most MR involves central A2P2 jets, a subset present with noncentral jets, which may introduce procedural complexity and influence outcomes. The objective of the study was to evaluate the impact of main MR jet location (central [A2P2] versus noncentral [A1/P1 or A3/P3]) on procedural success and clinical outcomes following M-TEER. Methods: This analysis used the EXPANDed data set, which included patients undergoing M-TEER with MitraClip G3/G4 systems and echocardiographic core laboratory-assessed main MR jet location. One-year clinical, echocardiographic, and functional outcomes were assessed. Results: = 0.47). Conclusions: In this largest analysis to date of patients with severe MR, main MR jet location did not affect the safety or effectiveness of the MitraClip system. These findings support the use of M-TEER across a range of anatomical presentations, including non-A2P2 MR jets.
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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 | 0.012 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 | 0.000 |
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".