Impact of treatment strategies on outcomes in patients with stable coronary artery disease and type 2 diabetes mellitus according to presenting angina severity: A pooled analysis of three federally-funded randomized trials
Bibliographic record
Abstract
BACKGROUND AND AIMS: The impact of treatment strategies on outcomes in patients with stable coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM) according to presenting angina has not been rigorously assessed. METHODS: We performed a patient-level pooled-analysis (n = 5027) of patients with stable CAD and T2DM randomized to optimal medical therapy [OMT], percutaneous coronary intervention [PCI] + OMT, or coronary artery bypass grafting [CABG] + OMT. Endpoints were death/myocardial infarction (MI)/stroke, post-randomization revascularization (both over 5 years), and angina control at 1 year. RESULTS: Increasing severity of baseline angina was associated with higher rates of death/MI/stroke (p = 0.009) and increased need for post-randomization revascularization (p = 0.001); after multivariable adjustment, only association with post-randomization revascularization remained significant. Baseline angina severity did not influence the superiority of CABG + OMT to reduce the rate of death/MI/stroke and post-randomization revascularization compared to other strategies. CABG + OMT was superior for angina control at 1 year compared to both PCI + OMT and OMT alone but only in patients with ≥ Class II severity at baseline. Comparisons between PCI + OMT and OMT were neutral except that PCI + OMT was superior to OMT for reducing the rate of post-randomization revascularization irrespective of presenting angina severity. CONCLUSIONS: Presenting angina severity did not influence the superiority of CABG + OMT with respect to 5-year rates of death/MI/stroke and need for post-randomization revascularization. Presenting angina severity minimally influenced relative benefits for angina control at 1 year.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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".