Complete transcatheter versus complete surgical treatment in patients with aortic valve stenosis and concomitant coronary artery disease: Study‐level meta‐analysis with reconstructed time‐to‐event data
Bibliographic record
Abstract
OBJECTIVES: To compare outcomes of complete transcatheter (TAVI plus PCI) versus complete surgical (SAVR plus CABG) approach to treat patients with aortic stenosis (AS) and concomitant coronary artery disease (CAD). METHODS: Study-level meta-analysis with reconstructed time-to-event data including studies published by November 2021. The primary endpoints were 30-day mortality, overall survival, and major adverse cardiovascular and cerebrovascular events (MACCE). The secondary endpoints were 30-day stroke, myocardial infarction, and permanent pacemaker implantation (PPI); in-hospital major vascular events and acute kidney injury (AKI). RESULTS: Eight studies met our eligibility criteria, including a total of 33,286 patients (3448 for TAVI plus PCI and 29,838 for SAVR plus CABG). The pooled risk of 30-day mortality was lower for TAVI plus PCI (OR 0.63; 95% CI 0.51-0.80; p < .001). Patients undergoing TAVI plus PCI had lower risk of in-hospital AKI (OR 0.49; 95% CI 0.28-0.85; p = .01), however, higher risk of major vascular events (OR 7.33; 95% CI 1.80-29.85; p = .005) and higher risk of PPI (OR 2.96; 95% CI 1.80-4.85; p < .001). No statistically significant difference was observed for myocardial infarction and stroke between the groups. In the follow-up analyses, we observed a higher risk of mortality (HR 1.64, 95% CI 1.36-1.96, p < .001) and MACCE with TAVI plus PCI (HR 1.35 (95% CI 1.08-1.69, p = .009). CONCLUSION: Patients who undergo TAVI plus PCI (in comparison with SAVR plus CABG) initially experience lower rates of in-hospital death and AKI; however, they experience significantly lower survival rates and more MACCE at 5-year follow up. Structural heart surgeons and interventional cardiologists should consider these aspects when referring patients for one approach or the other.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.050 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".