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Record W4412479410 · doi:10.1016/j.jns.2025.123628

First analysis of the Myasthenia Gravis SPOTLIGHT Registry: outcomes with eculizumab and ravulizumab

2025· article· en· W4412479410 on OpenAlexaff
James F. Howard, Dubravka Dodig, Lida Zeinali, Samir Macwan, Ashley Yegin, Michael Pulley, Ema Rodrigues, Pushpa Narayanaswami

Bibliographic record

VenueJournal of the Neurological Sciences · 2025
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsAstraZeneca (Canada)University of Toronto
FundersEMD SeronoNational Institutes of HealthArgenxAlexion PharmaceuticalsCVS HealthPatient-Centered Outcomes Research InstituteSanofiAstraZenecaAmgen
KeywordsEculizumabMyasthenia gravisMedicinePediatricsImmunologyAntibodyComplement system

Abstract

fetched live from OpenAlex

BACKGROUND: Complement component 5 inhibitors are indicated for the treatment of anti-acetylcholine receptor antibody-positive generalized myasthenia gravis (gMG). Clinical trials have demonstrated improved functional ability, muscle strength, and quality of life (QOL) in patients treated with eculizumab or ravulizumab. Evidence for their effectiveness and safety in clinical practice is reported here. METHODS: Data from the global MG SPOTLIGHT Registry were collected from patients with gMG currently or previously treated with eculizumab or ravulizumab in routine clinical practice. Effectiveness was evaluated among patients with ≥3 outcome measurements using MG Activities of Daily Living (MG-ADL) and MG-QOL 15-revised (MG-QOL15r) patient-reported outcomes and/or Myasthenia Gravis Foundation of America Clinical Classification (MGFA class) physician assessments. Safety data were also assessed. RESULTS: 189 patients were treated with eculizumab. Mean (95% CI) MG-ADL scores (n=110) decreased by 4.2 (-5.0, -3.4) points and MG-QOL15r scores (n=40) decreased by 7.5 (-9.9, -‍5.0) points from before eculizumab initiation to first assessment during/after treatment (median eculizumab treatment duration: 18.0 months). 45/103 (43.7%) patients were MGFA class 0-II before eculizumab versus 89/103 (86.4%) at first assessment. After transitioning to ravulizumab, improvements in MG-ADL scores (n=37), MG-QOL15r scores (n=14), and MGFA class (n=34) were maintained (median ravulizumab treatment duration: 8.7-11.4 months). Few treatment-related serious adverse events (eculizumab: Aspergillus infection, nervous system disorder [n=1 each]; ravulizumab: anaphylactic reaction [n=1]) and no meningococcal infections were reported with eculizumab or ravulizumab treatment. CONCLUSIONS: In routine clinical practice, eculizumab was well tolerated and effective for patients with gMG. Treatment benefits were maintained after transition to ravulizumab.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.264
Teacher spread0.251 · 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 designObservational
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

Citations7
Published2025
Admission routes1
Has abstractyes

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