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Record W4412808922 · doi:10.1177/17562864251351760

Clinical and mechanistic effects of cladribine in relapsing multiple sclerosis: 2-year results from the MAGNIFY-MS Study

2025· article· en· W4412808922 on OpenAlexafffund
Klaus Schmierer, Heinz Wiendl, Frederik Barkhof, Xavier Montalbán, Anat Achiron, Andrew Chan, Suzanne Hodgkinson, Alexandre Prat, Letizia Leocani, Finn Sellebjerg, Patrick Vermersch, Hulin Jin, Laura Sponton, Anita Chudecka, Lidia A. Gardner, Nicola De Stefano

Bibliographic record

VenueTherapeutic Advances in Neurological Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversité de Montréal
FundersRheinische Friedrich-Wilhelms-Universität BonnUniversity of AlbertaMcGill University Health CentreMerck KGaAMcGill University
KeywordsCladribineMultiple sclerosisMedicineRelapsing remittingFingolimodOncologyInternal medicineImmunology

Abstract

fetched live from OpenAlex

Background: Cladribine, an oral prodrug, penetrates the blood-brain barrier, impacting biomarkers of disease progression within the central nervous system. Objectives: Describe disease activity in cladribine tablets (CladT)-treated people with highly active relapsing multiple sclerosis (pwRMS) using clinical outcomes and biomarkers. Design: MAGNIFY-MS was an open-label, single-arm, phase IV trial with four sub-studies. Participants were grouped by previous treatment (Tx); Tx-naïve versus Tx-experienced; those with previous exposure to second-line therapies were excluded. This analysis describes cerebrospinal fluid (CSF) and optical coherence tomography (OCT) sub-studies. CSF sub-study participants were stratified by the number of oligoclonal bands (OCBs) at baseline (≥2/≥4). Methods: Logistic regression analysis is reported for no evidence of disease activity (NEDA)-3 and no evidence of progression or active disease (NEPAD) at Year (Y)1 and Y2, and annualized relapse rate (ARR) at Y2. Changes in intrathecal (OCBs, kappa free light chain [KFLC], immunoglobulin [Ig]G and IgM indices), OCT measures, and neuroaxonal degeneration (neurofilament light chain [NfL]) biomarkers are reported at baseline, month (M)12, and M24. Results: = 17), 76.5% had OCB reduction or disappearance at least once in the study. KFLC and IgG indices were reduced at M24 versus baseline. Sustained reductions were observed in median NfL, while IgG and IgM remained within normal ranges for most participants. Mean OCT measurements showed no retinal nerve fiber thinning. Conclusion: For CladT-treated pwRMS, disease activity and biomarkers of intrathecal inflammation and neuroaxonal damage were reduced versus baseline. Trial registration: ClinicalTrials.gov identifier, NCT03364036. Date registered: June 12, 2017. Date first patient enrolled: May 28, 2018. https://clinicaltrials.gov/study/NCT03364036. Extension study ClinicalTrials.gov Identifier: NCT04783935. Date registered: March 05, 2021. Date first patient enrolled: March 10, 2021. https://clinicaltrials.gov/study/NCT04783935.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.054
GPT teacher head0.357
Teacher spread0.302 · 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 routes2
Has abstractyes

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