Safety and efficacy of alirocumab 150 mg every 2 weeks, a fully human proprotein convertase subtilisin/kexin type 9 monoclonal antibody: A Phase II pooled analysis
Bibliographic record
Abstract
BACKGROUND: Alirocumab, a fully human monoclonal antibody to proprotein convertase subtilisin/kexin type 9, is in Phase III development for the treatment of hypercholesterolemia. In Phase II studies, 150 mg every 2 weeks (Q2W) was the highest Q2W dose studied, and it is currently the highest Q2W dose under development. To better assess the safety and efficacy of this dose, data across three Phase II studies were pooled. METHODS: We analyzed data from three double-blind, randomized, placebo-controlled Phase II studies of 8 or 12 weeks' duration. In the current analysis, 77 patients were randomized to the control group and 108 were randomized to alirocumab 150 mg Q2W administered via a single 1 mL subcutaneous injection. RESULTS: Adverse events (AEs) occurred in 58.3% of alirocumab patients compared with 54.5% of placebo-controlled patients. The most common AE was mild, transient injection-site reactions. No signal for muscle symptoms such as myalgia and no cases of neurocognitive effects were reported or observed. One alirocumab patient, also receiving atorvastatin 80 mg/day, had an increase in aspartate transaminase 3 to 5 times the upper limit of normal. Alirocumab 150 mg Q2W reduced low-density lipoprotein cholesterol (LDL-C) from baseline by 68.4% compared with 10.5% for the control group. More than 90% of patients achieved an LDL-C target of < 70 mg/dL with alirocumab versus 8% with control. Marked reductions in other atherogenic lipids and modest increases in high-density lipoprotein cholesterol were also observed. CONCLUSION: At the highest Q2W dose under development (150 mg), alirocumab appears well tolerated and produces robust LDL-C reductions. These data suggest that alirocumab 150 mg Q2W is an appropriate dose for further evaluation in Phase III trials.
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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 | 0.012 | 0.009 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".