Hemodynamic and clinical outcomes with balloon-expandable valves versus self-expanding valves in patients with small aortic annulus undergoing transcatheter aortic valve replacement: A meta-analysis of randomized controlled trials and propensity score matched studies
Bibliographic record
Abstract
Transcatheter aortic valve replacement (TAVR) is considered more effective than surgical aortic valve implantation for patients with a small aortic annulus (SAA), however, the comparative efficacy of different transcatheter heart valves (THVs) remains uncertain. A literature search was performed across databases from their inception until June 2024 to identify eligible randomized controlled trials (RCTs) and propensity-score matched (PSM) studies. Clinical outcomes were evaluated using a random-effects model to pool risk ratios (RRs) with 95 % confidence intervals (CIs). The analysis included 10 studies with 2,960 patients. BEVs were associated with a significantly smaller indexed effective orifice area (MD: -0.18, 95 % CI: -0.27 to -0.10), and a higher transvalvular mean pressure gradient (MD: 5.07, 95 % CI 3.43 to 6.71) than SEVs. The risk for prosthesis-patient mismatch (PPM) (RR = 1.89, 95 % CI: 1.42 to 2.51) and severe PPM (RR = 2.80, 95 % CI: 1.96 to 4.0) was significantly higher for patients receiving BEVs than those receiving SEVs. Although nonsignificant differences were observed between BEVs and SEVs regarding 30-day and 1-year all-cause mortality, 30-day stroke rates, vascular complication, paravalvular leak, and permanent pacemaker implantation (p > 0.05), patients receiving BEVs were associated with a significantly increased risk of 1-year cardiovascular mortality (RR = 1.61, 95 % CI: 1.05 to 2.47) compared to those receiving SEVs. In patients with SAA, BEVs demonstrated worse hemodynamic performance as determined by the higher risk of moderate and severe PPM compared to SEVs. Moreover, the use of BEVs was associated with a higher risk of 1-year cardiovascular mortality.
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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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.051 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".