Bibliographic record
Abstract
PURPOSE OF REVIEW: Proprotein convertase subtilisin kexin type 9 (PCSK9) inhibition has emerged as a novel approach to lowering levels of low-density lipoprotein cholesterol (LDL-C). The impact of PCSK9 inhibition in statin-treated patients on coronary atherosclerosis had remained unknown. RECENT FINDINGS: The GLAGOV trial compared the effect of the PCSK9 inhibitor, evolocumab, and placebo on progression of coronary atherosclerosis in patients treated with at least moderate intensity statin therapy. Predictable lowering of LDL-C with evolocumab (36.6 versus 93.0 mg/dl) associated with significant regression of coronary atherosclerosis. A direct relationship was observed between achieved LDL-C levels and disease progression. SUMMARY: Addition of evolocumab to statin therapy produces incremental regression of plaque regression in patients with established coronary artery disease. This finding provides a biological rationale for the reported beneficial effects of evolocumab on cardiovascular events.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.043 | 0.011 |
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".