Transcatheter aortic valve replacement and percutaneous coronary intervention versus surgical aortic valve replacement and coronary artery bypass grafting in patients with severe aortic stenosis and concomitant coronary artery disease: A systematic review and meta‐analysis
Bibliographic record
Abstract
OBJECTIVES: We performed a systematic review and meta-analysis to evaluate the early and midterm outcomes of patients who underwent surgical aortic valve replacement (SAVR) and coronary artery bypass grafting (CABG) against patients who had transcatheter aortic valve replacement (TAVR) and percutaneous coronary intervention (PCI). BACKGROUND: Contemporary guidelines suggest that surgical or percutaneous revascularization of significant coronary artery disease (CAD) in patients with severe aortic stenosis (AS) is a reasonable strategy. METHODS: We conducted a comprehensive search of Medline and Embase to identify studies comparing a percutaneous transcatheter versus a surgical approach. Random effects meta-analyses using the Mantel-Haenszel method were performed to estimate the effect of percutaneous compared surgical strategies using aggregate data. RESULTS: Six studies reporting on 1770 participants were included in the meta-analysis. There were no significant differences in effect estimates for early and midterm mortality (OR: 0.78; 95% CI, 0.50-1.20 and OR: 1.09; 95% CI, 0.80-1.49, respectively) or myocardial infarction (OR: 0.52; 95% CI, 0.20-1.33 and OR: 1.34; 95% CI, 0.67-2.65, respectively). No significant difference was shown for peri-procedural stroke (OR: 0.80; 95% CI, 0.35-1.87). A transcatheter approach had a higher rate of major vascular complications (OR: 14.44; 95% CI, 4.42-47.16), but a lower rate of acute kidney injury (OR: 0.41; 95% CI, 0.19-0.91). CONCLUSION: Our analysis suggests that a percutaneous transcatheter approach confers similar outcomes compared to a surgical approach in patients with severe AS and CAD. However, our findings are based on low quality studies and should serve as hypothesis generating. In the absence of adequately powered studies yielding high level evidence, individualized decision making should be based on surgical risk assessment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.012 |
| 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".