Long-term safety and effectiveness of evinacumab in people with homozygous familial hypercholesterolemia: a plain language summary
Bibliographic record
Abstract
Plain Language SummaryWhat is this summary about?This summary explains the results of a study looking at the long-term effects of a treatment called evinacumab. This study included people aged over 12 years with homozygous familial hypercholesterolemia, also known as HoFH. HoFH is a rare genetic disorder that makes the liver less able to remove excess ‘bad’ cholesterol (called low-density lipoprotein cholesterol, or LDL-C) from the body. LDL-C is considered ‘bad’ cholesterol because it increases the risk of heart disease and stroke. High levels of LDL-C increase the risk of developing serious heart problems early in life. Treatment options for lowering LDL-C often do not work very well for people with HoFH. Evinacumab is a medicine that is approved for the treatment of HoFH as an add-on to other therapies that lower LDL-C. The effect of evinacumab on heart problems such as heart attacks, stroke, or death is not known. In the UK, evinacumab is approved for people with HoFH aged 6 months and above. In Canada and the USA, evinacumab is approved for people with HoFH aged 5 years and above. In the European Union/European Economic Area, evinacumab is approved for people with HoFH aged 6 months and above. In Japan, evinacumab is approved for all ages of people with HoFH. More recently, evinacumab has also been approved in Brazil and Israel.What were the results?People with HoFH who took part in the study were treated with evinacumab every 4 weeks for up to 44 months.After 6 months of treatment, LDL-C levels were almost 44% lower than when people started the study.Treatment-emergent adverse events, also called TEAEs, were reported by 80% of people in the study but most of these were mild (23.3%) or moderate (41.4%) in severity. The most commonly reported side effects which happened during the study were common cold, COVID-19, headache, flu-like illness, general pain, back pain, nausea, and cough. The study researchers determined that most of these reported side effects (91%) were not related to the use of evinacumab.No serious TEAEs were considered related to evinacumab treatment. Nearly all of the people (97%) could continue with the study treatment and, based on this, the researchers concluded that evinacumab was generally well tolerated.What do the results mean?This study showed that evinacumab lowered ‘bad’ cholesterol in people with HoFH, and that this result lasted for a long period of time.This is an abstract of the Plain Language Summary of Publication article.View the full Plain Language Summary PDF of this article to read the full-text
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".