Ross Procedure Versus Mechanical Versus Bioprosthetic Aortic Valve Replacement: A Network Meta‐Analysis
Bibliographic record
Abstract
Background The Ross operation appears to restore normal survival in young and middle‐aged adults with aortic valve disease. However, there are limited data comparing it with conventional aortic valve replacement. Herein, we compared outcomes of the Ross procedure with mechanical and bioprosthetic aortic valve replacement (M‐AVR and B‐AVR, respectively). Methods and Results MEDLINE and EMBASE were searched through March 2022 to identify randomized controlled trials and propensity score–matched studies that investigated outcomes of patients aged ≥16 years undergoing the Ross procedure, M‐AVR, or B‐AVR. The systematic literature search identified 2 randomized controlled trials and 8 propensity score–matched studies involving a total of 4812 patients (Ross: n=1991; M‐AVR: n=2019; and B‐AVR: n=802). All‐cause mortality was significantly lower in the Ross procedure group compared with M‐AVR (hazard ratio [HR] [95% CI], 0.58 [0.35–0.97]; P =0.035) and B‐AVR (HR [95% CI], 0.32 [0.18–0.59]; P <0.001) groups. The reintervention rate was lower after the Ross procedure and M‐AVR compared with B‐AVR, whereas it was higher after the Ross procedure compared with M‐AVR. Major bleeding rate was lower after the Ross procedure compared with M‐AVR. Long‐term stroke rate was lower following the Ross procedure compared with M‐AVR and B‐AVR. The rate of endocarditis was also lower after the Ross procedure compared with B‐AVR. Conclusions Improved long‐term outcomes of the Ross procedure are demonstrated compared with conventional M‐AVR and B‐AVR options. These results highlight a need to enhance the recognition of the Ross procedure and revisit current guidelines on the optimal valve substitute for young and middle‐aged patients.
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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 | 0.011 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.025 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 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".