Biological Surgical Options in Young Patients for the Treatment of Severe Aortic Stenosis: Is the Jury Still Out? A Review
Bibliographic record
Abstract
Aortic interventions remain the most effective treatment for severe aortic stenosis. In the recent years, advances in bioprosthetics and newer data have reduced the cut-off age for the use of bioprosthetic valves in younger patients, but the debate on whether to favor mechanical valves in younger patients remains a constant, especially with the undesired effects and considerations of anticoagulation therapy with vitamin K antagonists in this age group. Other options like the Ross procedure are gaining traction, despite still being undervalued and necessitating expertise centers. Hemodynamic considerations and durability of these options are important to consider, especially in this age group. Regardless of the choice of the prosthesis, patient informed consent is paramount since the decision affects the lifetime management of their initial condition, and expectations given must remain realistic.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.016 |
| Bibliometrics | 0.000 | 0.001 |
| 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".