Alternative Approaches to Coronary Artery Bypass Grafting Versus Percutaneous Coronary Intervention, How Do They Compare?: A Systematic Review and Meta-Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Coronary artery disease (CAD) is a leading cause of mortality worldwide. Severe symptomatic CAD is treated with coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI). Alternative CABG (ACABG) approaches including thoracotomy, off-pump, total endoscopic, and robotic-assisted CABG are increasing in prevalence to address the increased early risk of CABG. This systematic review and meta-analysis aims to review the contemporary literature comparing outcomes after ACABG and PCI. Pubmed, Medline, and Embase were systematically searched by 2 authors for articles comparing the outcomes after ACABG and PCI. A total of 1154 articles were screened, and 11 were included in this review. The RevMan 5.4 software was used to perform a meta-analysis of the pooled data. Individual studies found rates of long-term survival, major adverse cardiovascular and cerebrovascular events (MACCE), myocardial infarction (MI), and repeat revascularization either favored ACABG or did not differ significantly. Pooled estimates of the compiled data identified rates of MACCE, MI, and repeat revascularization favored ACABG. The results of this review demonstrated the favorable rates of long-term mortality, MACCE, MI, and repeat revascularization for ACABG in addition to similar short-term mortality and stroke when compared with PCI. Advancement of both CABG and PCI continues to improve patient outcomes. With the increasing prevalence of ACABG, similar studies will need to be undertaken with further direct comparisons between ACABG and PCI. Finally, hybrid revascularization should continue to be explored for its combined benefits of long-term outcomes, short-term safety, and ability to achieve complete revascularization.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.030 | 0.011 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it