Latest evidence on transcatheter aortic valve implantation vs. surgical aortic valve replacement for the treatment of aortic stenosis in high and intermediate-risk patients
Bibliographic record
Abstract
PURPOSE OF REVIEW: The goal of this review is to summarize the current evidence supporting the use of transcatheter aortic valve implantation (TAVI) in high and intermediate-risk patients. The focus is on the five randomized controlled trials comparing TAVI with surgical aortic valve replacement (SAVR) published to date, as well as two recent meta-analyses. RECENT FINDINGS: TAVI has profoundly transformed the treatment of elderly patients presenting with symptomatic severe aortic stenosis. In experienced hands, the procedure has become well tolerated and the results more predictable. So far, two trials using two different devices [Placement of Aortic Transcatheter Valve (PARTNER) 1A and US CoreValve High Risk] have shown that TAVI is able to compete in terms of mortality with SAVR in high-risk patients. These findings have been extended to the intermediate-risk population in two recently published randomized controlled trials [PARTNER 2 and Nordic Aortic Valve Intervention (NOTION)]. The two meta-analyses suggested improved survival in both high and intermediate-risk patients during the first 2 years following the intervention. The survival benefit was only found in patients treated via the transfemoral access, and appeared more pronounced in women. SUMMARY: Individual randomized trials enrolling high and intermediate-risk patients have established the noninferiority of TAVI in comparison with SAVR, whereas subsequent meta-analyses suggest superiority of transfemoral TAVI in terms of a sustained survival benefit 2 years after valve implantation irrespective of the surgical risk category. The benefit of TAVI appears more pronounced in women than in men.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| 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".