Stenting versus coronary artery bypass grafting for unprotected left main coronary artery disease: A meta-analysis of comparative studies
Bibliographic record
Abstract
Although coronary artery bypass grafting (CABG) is currently recommended to treat unprotected left main coronary artery (LMCA) disease, the treatment of this disorder by percutaneous coronary intervention represents a considerable challenge for interventional cardiologists.1 Several studies have analyzed the treatment of unprotected LMCA disease with CABG versus percutaneous coronary intervention with stents (PCI-S), but no meta-analyses of these studies have been conducted to date. To compare the treatment of unprotected LMCA disease with PCI-S versus CABG, we performed a meta-analysis of comparative studies for prevention of death, repeated revascularization, and major adverse cardiac and cerebrovascular events (MACCEs) at follow-up.
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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 | 0.020 | 0.034 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.045 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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".