Bibliographic record
Abstract
Mitral valve regurgitation (MR) has a high incidence in the western world, and mortality is high for untreated severe MR. Catheter based repair was introduced with MitraClip in 2003, and some additional devices later came into the market. To expand the transcatheter treatment options for mitral valve disease, the first transcatheter mitral valve implantation (TMVI) was performed by Søndergaard et al. 2012, only 10 years after the first transcatheter aortic valve implantation (TAVI), however, the development has been much slower for the TMVI than for TAVI. From 2012, studies were started for several devices to prove feasibility and safety. However, there were big challenges in valve design; delivery systems and anchoring in addition to anatomical issues (avoid LVOT obstruction and paravalvular leak, big size of annulus). The main valves in studies were CardiaQ (later bought by Edwards Lifesciences, Irvine, United States), Tiara (Neovasc Inc., Richmond, Canada), Twelve (later Intrepid, Medtronic, MN, United States) and Tendyne™ (Abbott, MN, United States). I will focus on the Tendyne™ valve that is the only CE approved transcatheter mitral valve implant. It is available in a large number of sizes and is repositionable and retrievable. The results for the 100 first patients included in the early feasibility study (EFS) at 1 and 2 years are promising. Initially feasible for MR, but further investigations show promising results also for implant in mitral annular calcification.
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".