P2518Arrythmias and heart rate increase in the LEADER trial and relation to risk of cardiovascular events
Bibliographic record
Abstract
Background: Epidemiological data suggest that a higher resting heart rate (HR) is associated with a higher risk of cardiovascular (CV) events and death. Glucagon-like peptide-1 receptor agonists can increase HR. In the LEADER trial (NCT01179048), liraglutide significantly reduced the risk of major adverse CV events ([MACE]; CV death, non-fatal myocardial infarction and non-fatal stroke) by 13% vs placebo (PBO) in people with type 2 diabetes and high CV risk. Purpose: In a post hoc analysis from LEADER, we evaluated the frequency of arrhythmias and, for patients with HR increases <10 or ≥10 beats per minute (bpm) at 6 months, the risk of CV events. Methods: In LEADER, 9340 patients with type 2 diabetes and high CV risk were randomised 1:1 to add liraglutide or PBO to standard care, and followed for 3.5–5 years. Serious adverse events and non-serious medical events of special interest related to HR were systematically collected and reviewed. Cox regression analysis was used to evaluate the risk of CV events in patients with HR increases <10 bpm or ≥10 bpm at 6 months.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".