Mortality after multivessel revascularisation involving the proximal left anterior descending artery
Bibliographic record
Abstract
Objective We sought to investigate whether long-term clinical outcomes differ following percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) in patients with three-vessel disease (3VD) and lesions in the proximal left anterior descending artery (P-LAD). Methods This post-hoc analysis of the Synergy between PCI with Taxus and Cardiac Surgery (SYNTAX) Extended Survival study included patients with 3VD who were classified according to the presence or absence of lesions located in the P-LAD. Ten-year all-cause death and 5-year major adverse cardiac or cerebrovascular events (MACCE) were assessed. Results Among 1088 patients with 3VD, 559 (51.4%) had involvement of P-LAD and their 10-year mortality was numerically higher following PCI versus CABG (28.9% vs 21.9%; HR: 1.39, 95% CI 0.99 to 1.95). Although patients without P-LAD lesions had significantly higher 10-year mortality following PCI compared with CABG, there was no evidence of a treatment-by-subgroup interaction (28.8% vs 20.2%; HR: 1.47, 95% CI 1.03 to 2.09, pinteraction=0.837). The incidence of MACCE at 5 years was significantly higher with PCI than CABG, irrespective of involvement of P-LAD (with P-LAD: HR: 1.86, 95% CI 1.36 to 2.55; without P-LAD: HR: 1.54, 95% CI 1.11 to 2.12; pinteraction=0.408). Individualised assessment using the SYNTAX Score II 2020 established that a quarter of patients with P-LAD lesions had significantly higher mortality with PCI than CABG, whereas in the remaining three-quarters CABG had similar mortality. Conclusions Among patients with 3VD, the presence or absence of a P-LAD lesion was not associated with any treatment effect on long-term outcomes following PCI or CABG. Trial registration number SYNTAXES: NCT03417050 ; SYNTAX: NCT00114972 .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".