Liraglutide reduces cardiovascular events and mortality in type 2 diabetes mellitus independently of baseline low-density lipoprotein cholesterol levels and statin use results from the LEADER trial
Bibliographic record
Abstract
The causal relationship between low-density lipoprotein cholesterol (LDL-C) and atherosclerotic cardiovascular events has been well established. In people with type 2 diabetes mellitus, LDL-C lowering with statins is strongly endorsed by clinical practice guidelines, with suggested LDL-C target levels including <100 mg/dL for high-risk patients, <70 mg/dL for very high-risk patients, and ≤55 mg/dL in patients with cardiovascular disease at extreme risk.2 Because LDL-C is a dominant pathophysiological mechanism of atherogenesis, questions pertain to whether newer antiatherosclerotic and cardiovascular protective therapies exhibit efficacy, even in the setting of low LDL-C. In this post hoc analysis of the LEADER trial, we evaluated the efficacy of liraglutide on cardiovascular outcomes and mortality across the spectrum of baseline LDL-C and statin use.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".