Patient and procedure selection for the prevention of prosthesis-patient mismatch following aortic valve replacement
Bibliographic record
Abstract
Prosthesis-patient mismatch (PPM) is frequent following surgical aortic valve replacement (SAVR) and is associated with an increased risk of morbidity and mortality. Preventive strategies to avoid or minimise PPM should be implemented in patients who are at high risk (i.e., patients with a small aortic annulus or those undergoing a valve-in-valve procedure within a small surgical bioprosthesis) and/or vulnerable to PPM (i.e., depressed left ventricular [LV] systolic function, severe LV hypertrophy, concomitant mitral regurgitation, and paradoxical low-flow, low-gradient aortic stenosis). Recent studies suggest that transcatheter aortic valve replacement (TAVR) may be superior to SAVR for the prevention of PPM and associated adverse cardiac events, particularly in the subset of patients with a small (<21 mm) aortic annulus. However, further randomised studies are needed to confirm the potential superiority of TAVR for this purpose.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".