The evolving evidence base for coronary artery bypass grafting and arterial grafting in 2021: How to improve vein graft patency
Bibliographic record
Abstract
Coronary artery bypass grafting (CABG) is foundational to managing multivessel coronary artery disease. The internal thoracic artery (ITA) remains the gold standard for left anterior descending artery (LAD) grafting. Although saphenous vein grafts (SVGs) may be considered for non-LAD targets, the right ITA (RITA) and radial artery (RA) are associated with improved outcomes1 and thus are more commonly used for CABG. A recent systematic review and a network meta-analysis of 150,000 patients2,3 highlighted that the use of RA was associated with a lower risk of major adverse cardiovascular events (MACE) at 5 and 10 years and with a higher rate of patency at 5 years.
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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 | 0.048 | 0.196 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".