Percutaneous mitral commissurotomy versus surgical commissurotomy for rheumatic mitral stenosis: a systematic review and meta-analysis of randomised controlled trials
Bibliographic record
Abstract
AIM: Patients with severe mitral stenosis (MS) and their clinicians typically choose percutaneous transvenous mitral commissurotomy (PTMC) over surgical commissurotomy (SC). However, the durability of PTMC relative to SC is uncertain. We compared the efficacy, safety and durability of PTMC with SC for the treatment of MS. METHODS: We searched EMBASE, MEDLINE and WHO ICTRP registers for randomised controlled trials (RCTs) comparing PTMC, and open and/or closed mitral commissurotomy. The principal outcomes were rate of re-intervention and symptomatic improvement as inferred from the surrogate measures of immediate postprocedural mitral valve area (MVA), MVA at ≥6 month follow-up, incidence of mitral regurgitation (MR) and restenosis. We calculated weighted mean differences (WMD) for continuous outcomes, relative risks (RR) for binary outcomes and pooled outcomes using random-effects models and assessed the quality of evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach. RESULTS: Seven RCTs with 553 patients proved eligible. Pooled estimates showed no convincing difference in the risk of restenosis or re-intervention (15/100 fewer with PTMC, 95% CI (-20 to +8); quality of evidence: moderate) or in symptoms as inferred from immediate MVA (WMD 0.15, 95% CI (-0.18 to 0.48): very low), from the incidence of postprocedural severe MR (3/100 more with PTMC, 95% CI (-1 to +10): moderate) or from MVA at 30 months. CONCLUSION: Until data demonstrating convincing superiority of SC over PTMC become available, our results support the current practice of recommending PTMC to young patients with MS and favourable valve morphology, as it is associated with lower peri-procedural morbidity. PROSPERO REGISTRATION NUMBER: PROSPERO 2017 (CRD42017079512).
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.072 | 0.100 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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; both teacher heads agree on what is shown here.
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".