Drug‐Eluting or Bare‐Metal Stents for Left Anterior Descending or Left Main Coronary Artery Revascularization
Bibliographic record
Abstract
Background New‐generation drug‐eluting stents (DES) reduce target‐vessel revascularization compared with bare‐metal stents (BMS), and recent data suggest that DES have the potential to decrease the risk of myocardial infarction and cardiovascular mortality. We evaluated the treatment effect of DES versus BMS according to the target artery (left anterior descending [LAD] and/or left main [LM] versus other territories [no‐LAD/LM]). Methods and Results The Coronary Stent Trialist (CST) Collaboration gathered individual patient data of randomized trials of DES versus BMS for the treatment of coronary artery disease. The primary outcome was the composite of cardiac death or myocardial infarction. Hazard ratios (HRs) with 95% CIs were derived from a 1‐stage individual patient data meta‐analysis. We included 26 024 patients across 19 trials: 13 650 (52.4%) in the LAD/LM and 12 373 (47.6%) in the no‐LAD/LM group. At 6‐year follow‐up, there was strong evidence that the treatment effect of DES versus BMS depended on the target vessel ( P ‐interaction=0.024). Compared with BMS, DES reduced the risk of cardiac death or myocardial infarction to a greater extent in the LAD/LM (HR, 0.76; 95% CI, 0.68–0.85) than in the no‐LAD/LM territories (HR, 0.93; 95% CI, 0.83–1.05). This benefit was driven by a lower risk of cardiac death (HR, 0.83; 95% CI, 0.70–0.98) and myocardial infarction (HR, 0.74; 95% CI, 0.65–0.85) in patients with LAD/LM disease randomized to DES. An interaction ( P =0.004) was also found for all‐cause mortality with patients with LAD/LM disease deriving benefit from DES (HR, 0.86; 95% CI, 0.76–0.97). Conclusions As compared with BMS, new‐generation DES were associated with sustained reduction in the composite of cardiac death or myocardial infarction if used for the treatment of LAD or left main coronary stenoses. Registration URL: https://www.crd.york.ac.uk/PROSPERO ; Unique identifier: CRD42017060520.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".