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Record W4389150857 · doi:10.1136/jnnp-2023-abn.179

SUNFISH: 4-year efficacy and safety data of risdiplam in types 2 and 3 SMA

2023· article· en· W4389150857 on OpenAlexaff
Servais Laurent, Day John, Mazzone Elena, Nascimento Andres, Maryam Oskoui, Giovanni Baranello, Gerber Marianne, Martin Carmen, Yeung Wai Yin, Mercuri Eugenio

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsSMA*PlaceboMedicineSpinal muscular atrophyClinical endpointMotor functionPhysical therapyInternal medicinePhysical medicine and rehabilitationRandomized controlled trial

Abstract

fetched live from OpenAlex

Risdiplam (EVRYSDI®) is an oral survival of motor neuron (SMN2) pre-mRNA splicing modifier approved by the EMA and MHRA for the treatment of patients aged ≥2 months with Type 1, 2 or 3 spinal muscular atrophy (SMA) or 1–4 SMN2 copies. SUNFISH (NCT02908685) is a two-part, randomised, placebo-controlled, double-blind study in patients with Types 2/3 SMA aged 2–25 years at enrolment. Part 2 (N=180) assessed efficacy and safety of the Part 1-selected dose of risdiplam versus placebo in Type 2 and non-ambulant Type 3 SMA. Participants were treated with risdiplam or placebo for 12 months, then received risdiplam in a blinded manner until Month 24, when they entered the open-label extension. The primary endpoint (Part 2) of change from baseline in the 32-item Motor Function Measure (MFM32) total score in patients receiving risdiplam (n=120) versus placebo (n=60) was met at Month 12. Motor function increases were sustained in the second and third year after risdiplam treatment (assessed by the MFM32, Hammersmith Functional Motor Scale – Expanded and Revised Upper Limb Module). At Month 36, no safety findings led to treatment withdrawal in SUNFISH Part 1 or 2. Here we present 4-year efficacy and safety data from SUNFISH.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.064
GPT teacher head0.357
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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