MétaCan
Menu
Back to cohort

Switching to Alemtuzumab From Subcutaneous Interferon Beta-1a After CARE-MS II Further Improved MRI Outcomes in Patients With Relapsing-Remitting Multiple Sclerosis (P7.248)

2015· article· en· W4389409583 on OpenAlexaff
Daniel Pelletier, Frederik Barkhof, Alasdair Coles, Jeffrey Cohen, Alastair Compston, Edward Fox, Hans‐Peter Hartung, Eva Havrdová, David Margolin, Linda Kasten, Michael Panzara, Douglas L. Arnold

Bibliographic record

VenueNeurology · 2015
Typearticle
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsNeuroRx Research (Canada)Montreal Neurological Institute and Hospital
Fundersnot available
KeywordsAlemtuzumabMultiple sclerosisRelapsing remittingMedicineInterferon betaInterferon beta-1aDimethyl fumarateGlatiramer acetateInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Examine magnetic resonance imaging (MRI) outcomes in patients who switched to alemtuzumab after receiving subcutaneous interferon beta-1a (SC IFNB-1a) in CARE-MS II. BACKGROUND: In the 2-year CARE-MS II study (NCT00548405) of relapsing-remitting multiple sclerosis patients who relapsed on prior therapy, alemtuzumab demonstrated improvements in many MRI outcomes, including reductions in MRI lesion activity and brain volume loss, compared with SC IFNB-1a. A CARE-MS extension study (NCT00930553) is ongoing. DESIGN/METHODS: In CARE-MS II, SC IFNB-1a-treated patients received 44 μg, 3 times/week for 2 years. In the extension, former SC IFNB-1a-treated patients received annual alemtuzumab courses in Years 3 and 4 (12 mg intravenous). MRI outcomes assessed at baseline and yearly included gadolinium (Gd)-enhancing, new/enlarging T2 hyperintense and new T1 hypointense lesion activity, and MRI activity-free (absence of Gd-enhancing and new/enlarging T2 lesions). RESULTS: The extension enrolled 146 (83.4[percnt]) former SC IFNB-1a-treated patients; 89.7[percnt] received 2 alemtuzumab courses; 8.2[percnt] received 1 course, and 4.8[percnt] discontinued the study. After switching to alemtuzumab, proportions of patients lesion activity-free increased in Year 4 on alemtuzumab compared with Year 2 on SC IFNB-1a (Gd-enhancing [91.1[percnt] vs 77.6[percnt]; P<0.001], new/enlarging T2 [80.9[percnt] vs 47.7[percnt]; P<0.001]; new T1 [93.1[percnt] vs 73.8[percnt]; P<0.001]). Proportion of patients MRI activity-free was higher in Year 4 on alemtuzumab compared with Year 2 on SC IFNB-1a (80.9[percnt] vs 46.8[percnt]; P<0.001). Yearly rate of new lesion formation declined from Year 2 on SC IFNB-1a to Year 4 on alemtuzumab (new Gd-enhancing: 0.83 to 0.53; new/enlarging T2: 3.88 to 1.41; new T1: 0.93 to 0.22). CONCLUSIONS: Switching from SC IFNB-1a to alemtuzumab improved the proportion of patients MRI activity-free. These findings further confirm the superior efficacy of alemtuzumab in patients who received more than 2 years of prior disease-modifying therapy. Study Supported by: Genzyme, a Sanofi company, and Bayer Healthcare Pharmaceuticals.

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.240
Teacher spread0.221 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueNeurologySame topicMycobacterium research and diagnosisFrench-language works237,207