Onasemnogene abeparvovec gene therapy for treatment of patients with spinal muscular atrophy: Updated real-world practical considerations
Bibliographic record
Abstract
Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disease resulting from biallelic pathogenic variants of the survival motor neuron 1 ( SMN1 ) gene that leads to motor neuron degeneration, progressive muscle atrophy, and weakness. In its most severe form and without timely initiation of treatment, SMA can be fatal or lead to a requirement for permanent ventilation by 2 years of age. Approved treatments for SMA target an increase in SMN protein production. These include nusinersen and risdiplam, which modify splicing of the SMN2 pre-mRNA, and onasemnogene abeparvovec, a viral-mediated gene therapy. In 2020, an expert panel provided recommendations and practical considerations regarding onasemnogene abeparvovec administration. As more countries have approved onasemnogene abeparvovec and new data have emerged from clinical trials and real-world use, a similar expert panel provides updated recommendations along with additional guidance. Specific recommendations are centered around family preparation prior to and immediately following dosing to minimize risk of infectious illness, timing of anti–adeno-associated virus serotype 9 antibody titer testing for those patients with exclusionary titers, modifying immunization schedules, avoiding potential complications with long-term corticosteroid administration, safety monitoring, considerations for combination therapy, implementing newborn screening, and emphasizing the need for ongoing multidisciplinary care and adherence to standard-of-care guidelines.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".