Treatment of Homozygous Familial Hypercholesterolemia With Evinacumab
Bibliographic record
Abstract
Patients with homozygous familial hypercholesterolemia (HoFH) have extremely elevated levels of low-density lipoprotein cholesterol (LDL-C), with premature atherosclerosis and aortic valve disease. Available drug treatments are inadequate, and even with serial apheresis, HoFH patients rarely achieve acceptable LDL-C levels. Evinacumab is a monoclonal antibody against angiopoietin-like protein 3 that lowers LDL-C via a novel receptor-independent mechanism. We describe an Ontario patient with HoFH who for 17 months has been treated with monthly infusions of evinacumab added to pre-existing statin, ezetimibe, and evolocumab therapy. Evinacumab in this HoFH patient was associated with markedly improved LDL-C levels and decreased frequency of apheresis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".