P1104The effect of apabetalone on attenuated coronary atherosclerotic plaque: insights from the ASSURE trial
Bibliographic record
Abstract
Background: Apabetalone, the first selective bromodomain and extra-terminal (BET) inhibitor, modulates lipid and inflammatory pathways implicated in atherosclerosis. The impact of apabetalone on attenuated plaque (AP), a measure of vulnerability, is unknown. Methods: The ApoA-1 Synthesis Stimulation and intravascular Ultrasound for coronary atheroma Regression Evaluation (ASSURE) study employed serial IVUS measures of coronary atheroma in 281 patients treated with RVX-208 or placebo for 26 weeks. Attenuated plaque (AP) was measured at baseline and follow-up. Factors associated with changes in AP were investigated. Results: AP was observed in 31 (11%) patients. The apabetalone group demonstrated reductions in AP length by 1 mm (P=0.03), AP arc by 37.0o (P=0.004) and the AP index (API) by 34.6 mmo (P=0.02). The change in API correlated with the on-treatment HDL particle concentration (r=-0.50, P=0.007), but not HDL-C (r=-0.20, P=0.36) or apoA-1 (r=-0.20, P=0.25). Multivariable analysis revealed that on-treatment concentrations of HDL (P=0.03) and VLDL (P=0.01) particle concentrations independently associated changes in API.
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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 | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".