What Are SAVR Indications in the TAVI Era?
Bibliographic record
Abstract
While surgical aortic valve replacement (SAVR) has traditionally been regarded as the gold standard for severe symptomatic aortic stenosis (AS), transcatheter aortic valve implantation (TAVI) has emerged as a compelling less invasive alternative for patients with severe AS across the entire surgical risk spectrum. Despite TAVI's increasing utilization and promising outcomes, SAVR continues to be an essential treatment modality for certain patient populations, including individuals with complex aortic anatomies unsuitable for TAVI, patients presenting with significant aortic regurgitation, individuals requiring concomitant surgical procedures, and cases involving infective endocarditis. Furthermore, concerns regarding the long-term durability and complication profile of transcatheter valves underscore the importance of individualized patient assessment, especially for younger patients requiring optimal lifetime management strategies. This review examines the evolving role of SAVR amidst the growing adoption of TAVI and highlights key considerations for selecting the most appropriate treatment strategy for patients with aortic valve disease, incorporating insights from recent advancements in transcatheter technologies and the latest clinical trial evidence.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".