187 SUNFISH Part 2: 24-month efficacy of risdiplam compared with external control comparators
Bibliographic record
Abstract
Risdiplam (EVRYSDI®) is an oral survival of motor neuron 2 (SMN2) premRNA splicing modifier approved by the EMA and MHRA for the treatment of patients aged ≥2 months, with a clinical diagnosis of Type 1, 2 or 3 spinal muscular atrophy (SMA) or 1–4 copies of SMN2. SUNFISH ( NCT02908685 ) is a two-part, randomised, placebo-controlled, double-blind study in a broad population of patients aged 2–25 years at enrolment, with Type 2/3 SMA. Part 2 assesses the efficacy and safety of the Part 1-selected dose of risdiplam versus placebo in Type 2 and nonambulant Type 3 SMA. Participants were treated with risdiplam or placebo for 12 months; all participants then received risdiplam until Month 24, when patients were offered the opportunity to enter the open-label extension. The primary outcome of Part 2 – change from baseline to Month 12 in the 32-item Motor Function Measure total score in patients treated with risdiplam (n=120) versus placebo (n=60) – was met. Here we present analyses to compare 24-month data from the risdiplam arm with an external comparator dataset con- taining data from participants in the NatHis-SMA study ( NCT02391831 ) and the placebo arm of a Phase 2 study of olesoxime in patients with SMA ( NCT01302600 ).
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| 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 | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".