Complete Revascularization Versus Culprit-Lesion-Only PCI in STEMI Patients With Diabetes and Multivessel Coronary Artery Disease: Results From the COMPLETE Trial
Bibliographic record
Abstract
BACKGROUND: In the COMPLETE trial (Complete Versus Culprit-Only Revascularization to Treat Multivessel Disease After Early PCI for STEMI), a strategy of complete revascularization reduced the risk of major cardiovascular events compared with culprit-lesion-only percutaneous coronary intervention in patients presenting with ST-segment–elevation myocardial infarction (STEMI) and multivessel coronary artery disease. Patients with diabetes have a worse prognosis following STEMI. We evaluated the consistency of the effects of complete revascularization in patients with and without diabetes. METHODS: The COMPLETE trial randomized a strategy of complete revascularization, consisting of angiography-guided percutaneous coronary intervention of all suitable nonculprit lesions, versus a strategy of culprit-lesion-only percutaneous coronary intervention (guideline-directed medical therapy alone). In prespecified analyses, treatment effects were determined in patients with and without diabetes on the first coprimary outcome of cardiovascular death or new myocardial infarction and the second coprimary outcome of cardiovascular death, new myocardial infarction, or ischemia-driven revascularization. Interaction P values were calculated to evaluate whether there was a differential treatment effect in patients with and without diabetes. RESULTS: Of the 4041 patients enrolled in the COMPLETE trial, 787 patients (19.5%) had diabetes. The median HbA1c (glycated hemoglobin) was 7.7% in the diabetes group and 5.7% in the nondiabetes group. Complete revascularization consistently reduced the first coprimary outcome in patients with diabetes (hazard ratio, 0.87 [95% CI, 0.59–1.29]) and without diabetes (hazard ratio, 0.70 [95% CI, 0.55–0.90]), with no evidence of a differential treatment effect (interaction P =0.36). Similarly, for the second coprimary outcome, no differential treatment effect (interaction P =0.27) of complete revascularization was found in patients with diabetes (hazard ratio, 0.61 [95% CI, 0.43–0.87]) and without diabetes (hazard ratio, 0.48 [95% CI, 0.39–0.60]). CONCLUSIONS: Among patients presenting with STEMI and multivessel disease, the benefit of complete revascularization over a culprit-lesion-only percutaneous coronary intervention strategy was consistent regardless of the presence or absence of diabetes.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".