Effects of albiglutide on myocardial infarction and ischaemic heart disease outcomes in patients with type 2 diabetes and cardiovascular disease in the Harmony Outcomes trial
Bibliographic record
Abstract
AIMS: Large outcome trials have demonstrated cardiovascular benefits of selected glucagon-like peptide-1 (GLP-1) receptor agonists. We examined coronary disease outcomes in the Harmony Outcomes trial of the GLP-1 receptor agonist albiglutide. METHODS AND RESULTS: Harmony Outcomes was an event-driven, multicenter, double-blind, and placebo-controlled trial involving 9463 patients >40 years of age with type-2 diabetes and established atherosclerotic cardiovascular disease. It tested the effects of albiglutide on the occurrence of a composite primary endpoint, consisting of cardiovascular death, myocardial infarction (MI), or stroke. Within this post-hoc analysis, the effects of albiglutide on MI subtypes and other ischaemic endpoints were analysed.During the median-follow up of 1.6 years, a total of 421 patients (4.5%) experienced at least one MI, with 72 patients having more than one event. Treatment with albiglutide reduced both first events [hazard ratio (HR) 0.75 (0.62-0.91)] and overall events [HR 0.75 (0.61-0.91)] as well as first type 1 [HR 0.73 (0.57-0.92)] and type 2 myocardial infarctions [HR 0.65 (0.46-0.92)]. The effect of albiglutide treatment was consistent for ST-segment elevation [HR 0.69 (0.38-1.26)] and non-ST elevation (HR 0.86 (0.66-1.2) MI. CONCLUSION: Treatment with the GLP-1 receptor agonist albiglutide resulted in a 25% relative risk reduction in MI that was consistent for type of infarction and presence or absence of ST elevation. Our findings add novel information about the effects of GLP-1 receptor agonists on ischaemic events in patients with type 2 diabetes.
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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 | 0.002 | 0.000 |
| 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 | 0.000 |
| 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".