Bibliographic record
Abstract
PURPOSE OF REVIEW: Guidelines indicate surgical intervention for patients with symptomatic severe mitral regurgitation or signs of left ventricular dilatation or dysfunction. However, many patients do not receive surgery because of age or comorbidities, and have poor outcomes with conservative therapy. Transcatheter mitral repair with MitraClip (Abbott Vascular, IL, USA) has recently emerged as a viable treatment option for high-risk patients with heart failure. This article will review current evidence supporting the use of MitraClip across the spectrum of patient risk and discuss future directions for this technology. RECENT FINDINGS: Both randomized and registry studies have demonstrated the efficacy and safety of MitraClip for mitral regurgitation reduction, with significant improvements in functional class and reductions in heart failure hospitalizations. With increasing global experience, a broader scope of patients and diseases can now be successfully treated, ranging from patients with failed surgical annuloplasty rings to those in cardiogenic shock. Ongoing randomized trials will further define the role of MitraClip in the management of heart failure patients with secondary mitral regurgitation. SUMMARY: MitraClip is a useful therapeutic tool for nonsurgical patients with advanced heart failure and severe mitral regurgitation. Further developments in device design and procedural technique will continue to expand the range of patients who can be treated, with a goal of reducing heart failure hospitalizations and improving quality of life.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".