Long-term outcomes comparison of Bentall-De Bono-versus valve-sparing aortic root replacement: An updated systematic review and reconstructed time-to-event meta-analysis
Bibliographic record
Abstract
BACKGROUND: For patients with aortic root dilatation and a structurally normal aortic valve (AV) undergoing composite aortic valve-graft (Bentall-De Bono) versus valve-sparing aortic root replacement (VSARR) procedures there are conflicting data regarding early and long-term benefits. We undertook a study-level meta-analysis to compare the results of both procedures. METHODS: Three databases were assessed, and both randomized trials and observational studies were considered eligible. Kaplan-Meier curves of long-term survival and reoperation risk were reconstructed and compared with Cox linear regression and incidence rate ratios (IRR) with 95 % confidence intervals (CI). Landmark analysis and time-varying hazard ratio (HR) were analyzed. Odds ratios (OR) were calculated for early mortality, postoperative stroke, and re-exploration for postoperative bleeding. A random effects model was used. Sensitivity analyses included leave-one-out-analysis, meta-regression and subgroups analysis. RESULTS: 1456 articles were identified, including 39 observational studies, totaling 14,651 patients (Bentall-De Bono = 9557 and VSARR = 5094). Twelve studies were adjusted. The mean weighted follow-up was 5.05 ± 3.7 years. VSARR was associated with significantly greater survival (HR = 0.50; 95 % CI, 0.45-0.57; p < 0.0001) at 15-year follow-up. The reoperation risk was higher following VSARR (HR = 1.30; 95 % CI, 1.03-1.63; p = 0.02.), although time-varying HR model and landmark analysis reported an increased risk of reoperation within 5 years after VSARR (HR = 1.57; 95 % CI, 1.23-2.01; p < 0.001), after which the difference disappeared. Subgroups analysis of studies excluding aortic dissection showed a comparable rate of late reoperation. CONCLUSIONS: VSARR is associated with improved long-term survival compared to Bentall-De Bono. The risk of late reoperation is higher within 5 years following VSARR, after which the two procedures are comparable.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.030 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".