Transcatheter aortic valve implantation versus surgical aortic valve replacement for pure aortic regurgitation: a systematic review and meta-analysis of 33,484 patients
Bibliographic record
Abstract
Abstract Introduction The published studies comparing transcatheter aortic valve implantation (TAVI) and surgical aortic valve replacement (SAVR) in pure aortic regurgitation (AR) are conflicting. We conducted this systematic review and meta-analysis to compare TAVI with SAVR in pure AR. Methods We searched PubMed, Embase, Web of Science (WOS), Scopus, and the Cochrane Library Central Register of Controlled Trials (CENTRAL) from inception until 23 June 2023. Review Manager was used for statistical analysis. The risk ratio (RR) with a 95% confidence interval (CI) was used to compare dichotomous outcomes. Continuous outcomes were compared using the mean difference (MD) and 95% CI. The inconsistency test (I 2 ) assessed the heterogeneity. We used the Newcastle-Ottawa scale to assess the quality of included studies. We evaluated the strength of evidence using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) scale. Results We included six studies with 5633 patients in the TAVI group and 27,851 in SAVR. In-hospital mortality was comparable between TAVI and SAVR (RR = 0.89, 95% CI [0.56, 1.42], P = 0.63) (I 2 = 86%, P < 0.001). TAVI was favored over SAVR regarding in-hospital stroke (RR = 0.50; 95% CI [0.39, 0.66], P < 0.001) (I 2 = 11%, P = 0.34), in-hospital acute kidney injury (RR = 0.56; 95% CI: [0.41, 0.76], P < 0.001) ( I 2 = 91%, P < 0.001), major bleeding (RR = 0.23; 95% CI: [0.17, 0.32], P < 0.001) ( I 2 = 78%, P < 0.001), and shorter hospital say (MD = − 4.76 days; 95% CI: [− 5.27, − 4.25], P < 0.001) ( I 2 = 88%, P < 0.001). In contrast, TAVI was associated with a higher rate of pacemaker implantation (RR = 1.68; 95% CI: [1.50, 1.88], P < 0.001) ( I 2 = 0% P = 0.83). Conclusion TAVI reduces in-hospital stroke and is associated with better safety outcomes than SAVR in patients with pure AR.
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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) | 0.013 | 0.115 |
| Bibliometrics | 0.001 | 0.001 |
| 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".