Minimally Invasive Versus Sternotomy for Mitral Surgery in the Elderly: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: The safety of minimally invasive mitral valve surgery (MIMVS) in elderly patients is still debated. Our objective was to perform a systematic review and meta-analysis of studies comparing MIMVS with conventional sternotomy (CS) in elderly patients (≥65 years old). METHODS: We searched PubMed, EMBASE, Web of Science, clinicaltrials.gov, and Cochrane Central Register of Controlled Trials for trials and observational studies comparing MIMVS with CS in patients ≥65 years old presenting for mitral valve surgery. We performed a random-effects meta-analysis of all outcomes. RESULTS: The MIMVS group had lower odds of acute renal failure (odds ratio [OR] 0.27; 95% CI 0.10 to 0.78), prolonged intubation (>48 h; OR 0.47; 95% CI 0.31 to 0.70), less blood product transfusion (weighted mean difference [WMD] -0.82 units; 95% CI -1.29 to -0.34 units), shorter ICU length of stay (LOS; WMD -2.57 days; 95% CI -3.24 to -1.90 days) and hospital LOS (WMD -4.06 days; 95% CI -5.19 to -2.94 days). There were no significant differences in the odds of mortality, stroke, respiratory infection, reoperation for bleeding, and postoperative atrial fibrillation. MIMVS was associated with longer cross-clamp (WMD 11.8 min; 95% CI 3.5 to 20.1 min) and cardiopulmonary bypass times (WMD 23.0 min; 95% CI 10.4 to 35.6 min). CONCLUSIONS: MIMVS in elderly patients is associated with lower postoperative complications, blood transfusion, shorter ICU, and hospital LOS, and longer cross-clamp and bypass times.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.037 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 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".