Bibliographic record
Abstract
Over the past decade, increasing the capacity of HDL (high-density lipoprotein) cholesterol to mediate macrophage reverse cholesterol transport has been a target of interest in the treatment of cardiovascular diseases (CVDs). However, clinical studies reporting the limited efficacy of HDL or its main apolipoprotein, APOA1 , in reducing cardiovascular events have emerged. Although HDL cholesterol is unlikely to play a direct causal role in CVD, its inverse, albeit modest, association with CVD risk, consistently observed in large population studies, suggests it may influence alternative pathways beyond cholesterol metabolism. Given the diverse functions of HDL and its components, it is conceivable that its impact on CVD occurs through less direct mechanisms. A potential hypothesis is that HDL modulates platelet function, a crucial player in the initiation and progression of atherothrombosis, which may contribute to its observed relationship with CVD risk. In this review, we focus on how HDL and its components, with an emphasis on APOA1, interact with platelets (and their precursors or activation products) to modulate atherothrombotic responses.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".