Bibliographic record
Abstract
Duchenne muscular dystrophy (DMD) is a genetic disorder affecting 1 in 5,000 males which causes progressive muscle deterioration, loss of mobility and eventual death, with an average lifespan of around 25 years. While no cure currently exists for DMD, a novel treatment known as antisense-mediated exon skipping therapy has shown great promise. Exon skipping therapy induces the skipping of mutated exons, restoring the reading frame in dystrophin transcripts and resulting in a truncated but partially functional protein product. In February 2021, Sarepta Therapeutics received accelerated Food and Drug Administration (FDA) approval for their new antisense oligonucleotide, casimersen (brand name Amondys 45). Casimersen targets exon 45 of the dystrophin gene and is expected to treat ~8% of the DMD patient population. The continued approval of this drug will be dependent on satisfactory clinical results from an ongoing phase III trial. This article summarizes the preclinical and clinical data currently available for casimersen, emphasizing pharmacokinetics and safety.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.027 |
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".