Does the site of coronary endarterectomy have an impact on the clinical outcomes and graft patency?
Bibliographic record
Abstract
OBJECTIVES: To explore whether coronary endarterectomy (CE) sites have obvious impacts on the clinical outcomes and graft patency in off-pump coronary artery bypass (OPCAB). METHODS: The patients who underwent OPCAB with CE in our unit between January 2009 and December 2016 were included. The patients and the grafts were grouped according to the CE sites. The primary end points were mid-term main adverse cardiovascular and cerebrovascular events. RESULTS: In total, 290 patients who underwent OPCAB with CE were included. CE of the left anterior descending artery (LAD), left circumflex artery and the right coronary artery was performed in 46, 30 and 194 patients, respectively. There were 60, 42 and 217 grafts anastomosed to LAD-CE, left circumflex artery-CE and right coronary artery-CE sites in 290 patients. CE was not performed in the 20 patients requiring multivessel CE. There was no significant difference in perioperative outcomes. The average follow-up time was 51 months (12-103 months). There was no significant difference in mid-term death, main adverse cardiovascular and cerebrovascular events, myocardial infarction (MI), stroke, Canadian Cardiovascular Classification for angina class and 1-year graft patency among the 3 groups. However, the rate of New York Heart Association (NYHA) class III or IV (LAD vs left circumflex artery: 59% vs 25%, P = 0.011; LAD vs right coronary artery: 59% vs 27%, P < 0.001) was higher in the LAD group than in the other groups. These results were consistent with the Kaplan-Meier curves of freedom from the adverse events. CONCLUSIONS: CE sites had no obvious impact on mid-term death, main adverse cardiovascular and cerebrovascular events, MI, stroke, Canadian Cardiovascular Classification for angina class and 1-year graft patency in patients who underwent OPCAB with CE. The patients undergoing LAD-CE had higher rates of NYHA class III or IV.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".