Revascularization of the Left Anterior Descending Artery with Drug-Eluting Stents: Comparison with Arterial Off-Pump Surgery
Bibliographic record
Abstract
BACKGROUND: This study compared early results of left anterior descending artery (LAD) stenting using drug-eluting stents (Cypher) with off-pump bilateral internal thoracic arterial (BITA) grafting. METHODS: From June 2002 to June 2003, 200 consecutive patients underwent myocardial revascularization of the LAD territory, 100 by Cypher and 100 by BITA. The 2 groups were similar; however, left main disease and triple-vessel disease (20% and 75% versus 2% and 28%), age >70 (36% versus 17%) and intraaortic balloon pump (7% versus 0%) were more prevalent in the BITA group, and prior percutaneous coronary angiogplasty to the LAD was more prevalent in the Cypher group (28% versus 16%). RESULTS: The number of coronary vessels treated per patient in the BITA group was higher (2.7 versus 1.45, P < .01). Thirty-day mortality was 1% in the BITA group and 0% in the Cypher group. Mean follow-up was 12 months. There was 1 late death in each group. Angina returned in 32% of the Cypher group and in 1% of the BITA group. There were 9 reinterventions in the Cypher group: 7 coronary angioplasties (including 2 to the LAD) and 2 surgical interventions. There was neither recurrent angina nor reintervention in the surgical group. CONCLUSIONS: Despite a higher risk profile of patients treated with BITA, their clinical outcome is better. A longer and more complete angiographic follow-up is required to determine the role of drug-eluting stents in LAD revascularization.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".