The cost-effectiveness of transcatheter aortic valve replacement in low surgical risk patients with severe aortic stenosis
Bibliographic record
Abstract
AIMS: The economic value of transcatheter aortic valve replacement (TAVR) in low surgical risk patients with severe, symptomatic aortic stenosis is not known. Our objective was to determine the cost-effectiveness of balloon-expandable TAVR and self-expandable TAVR relative to surgical aortic valve replacement (SAVR) in low-risk patients. METHODS AND RESULTS: A fully probabilistic Markov cohort model was constructed to estimate differences in costs and effectiveness [quality-adjusted life years (QALYs)] over the patient's life-time time from the third-party payer's perspective. Clinical outcomes modelled were alive/well (no complications), permanent stroke, ≥moderate paravalvular leak, new pacemaker, rehospitalization, and death. A network meta-analysis of the PARTNER 3 and Evolut Low Risk trial was performed to compare balloon-expandable TAVR, self-expandable TAVR, and SAVR for the efficacy inputs. Incremental-cost effectiveness ratios (ICER) were calculated. The total life-time costs in the balloon-expandable TAVR, self-expandable-TAVR, and SAVR arms were $37 330 ± 4724, $39 660 ± 4862, and $34 583 ± 6731, respectively, and total life-time QALYs gained were 9.15 ± 3.23, 9.13 ± 3.23, and 9.05 ± 3.20, respectively. The ICERs for balloon-expandable TAVR and self-expandable TAVR against SAVR were $27 196/QALY and $59 641/QALY, respectively. Balloon-expandable TAVR was less costly and more effective than self-expandable TAVR. There was substantial uncertainty, with 53% and 58% of model iterations showing balloon-expandable TAVR to be the preferred option at willingness-to-pay thresholds of $50 000/QALY and $100 000/QALY, respectively. CONCLUSION: Compared with SAVR, TAVR, particularly with balloon-expandable prostheses may be a cost-effective option for patients with severe aortic stenosis at low surgical risk.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".