Bibliographic record
Abstract
PURPOSE OF REVIEW: Lipoprotein(a) [Lp(a)] is the strongest independent genetic risk factor for both myocardial infarction and aortic stenosis. It has also been associated with other forms of atherosclerotic cardiovascular disease (CVD) including ischemic stroke. Its levels are genetically determined and remain fairly stable throughout life. Elevated Lp(a), above 50 mg/dl, affects one in five individuals worldwide. RECENT FINDINGS: Herein, we review the recent epidemiologic and genetic evidence supporting the causal role of Lp(a) in CVD, highlight recommendations made by European and Canadian guidelines regarding Lp(a) and summarize the rapidly evolving field of Lp(a)-lowering therapies including antisense therapies and Proprotein Convertase Subtilisin/Kexin Type 9 inhibitors. SUMMARY: With novel therapies on the horizon, Lp(a) is poised to gain significant clinical relevance and its lowering could have a significant impact on the burden of CVD. VIDEO ABSTRACT.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".