Mipomersen as a potential adjunctive therapy for hypercholesterolemia
Bibliographic record
Abstract
Mipomersen, an antisense oligonucleotide directed against apolipoprotein B-100 (apoB), was investigated for its safety and efficacy in reducing low-density lipoprotein (LDL) cholesterol (C) as adjunctive treatment for patients with homozygous familial hypercholesterolemia (HoFH) in a Phase III, double-blind, randomized, controlled trial. HoFH patients are very rare in the general population (∼ 1:1,000,000) and have very high risk for cardiovascular events. HoFH patients respond poorly to statins and most other existing lipid-lowering therapies. Mipomersen (200 or 160 mg) administered subcutaneously to 34 HoFH patients for 26 weeks significantly reduced LDL-C by 24.7% from baseline. In addition, mipomersen lowered plasma lipoprotein (a). In most patients, mipomersen administration was most associated with injection-site reactions; influenza-like symptoms were also more common in mipomersen-treated patients. Four patients had elevated serum alanine aminotransferase (ALT) concentrations, one of whom also had a significant increase in intrahepatic triglyceride content. Another patient met the stopping rules for increased ALT concentrations. No patient developed steatohepatitis during the study. Thus, so far short-term data indicate that mipomersen is safe and effective as an adjunctive drug for lowering LDL-C. Despite these promising results, the longer-term safety and efficacy of mipomersen still needs to be determined.
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".