An updated meta-analysis of MitraClip versus surgery for mitral regurgitation
Bibliographic record
Abstract
BACKGROUND: Although studies demonstrate its feasibility, there is ongoing debate on the short and long-term outcomes of MitraClip versus surgical repair or mitral valve replacement (MVR). The objective of this meta-analysis is to compare the safety, morbidity, mortality and long-term function following MitraClip compared to MVR. METHODS: Articles were searched in PubMed and Cochrane databases for studies comparing outcomes of MitraClip and surgery on December 1, 2019. Eligible prospective, retrospective, randomized and non-randomized studies were reviewed. RESULTS: A total of nine studies (n=1,873, MitraClip =533, MVR =644) were eligible for review. At baseline, MitraClip patients had more comorbidities than MVR patients, including myocardial infarction (P<0.001), chronic obstructive pulmonary disease (P=0.022) and chronic kidney disease (P<0.001). MitraClip was associated with shorter length of stay (-3.86 days; 95% CI, -4.73 to -2.99; P<0.01) with a similar safety profile. Residual moderate-to-severe mitral regurgitation was more frequent in MitraClip at discharge (OR, 2.81; 95% CI, 1.39-5.69; P<0.01) and at five years (OR, 2.46; 95% CI, 1.54-3.94; P<0.01), and there was a higher need for reoperation on the MitraClip group at latest follow-up (OR, 5.28; 95% CI, 3.43-8.11; P<0.01). The overall mortality was comparable between the two groups (HR, 2.06; 95% CI, 0.98-4.29; P=0.06) for a mean follow-up of 4.8 years. CONCLUSIONS: Compared to surgery, MitraClip demonstrates a similar safety profile and shorter length of stay in high-risk patients, at the expense of increased residual mitral regurgitation and higher reoperation rate. Despite this, long term mortality appears comparable between the two techniques, suggesting that a patient-tailored approach will lead to optimal results.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.028 |
| 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".