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Durable Effect of Alemtuzumab on MRI Outcomes in Patients With Relapsing-Remitting Multiple Sclerosis Who Relapsed on Prior Therapy: 4-Year Follow-up of CARE-MS II (P7.249)

2015· article· en· W1552466093 on OpenAlexaff
Anthony Traboulsee, Alasdair Coles, Jeffrey Cohen, D. A. S. Compston, Edward Fox, Hans‐Peter Hartung, Eva Havrdová, Krzysztof Selmaj, David Margolin, Yang Zhao, Michael Panzara, Douglas L. Arnold

Bibliographic record

VenueNeurology · 2015
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsNeuroRx Research (Canada)Montreal Neurological Institute and HospitalMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsAlemtuzumabMedicineRelapsing remittingMultiple sclerosisInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: Examine the effect of alemtuzumab on 4-year magnetic resonance imaging (MRI) outcomes in CARE-MS II patients who entered an ongoing extension. BACKGROUND: In the CARE-MS II trial (NCT00548405), alemtuzumab had superior benefit versus subcutaneous interferon beta-1a, including improved MRI outcomes over 2 years, in relapsing-remitting multiple sclerosis (RRMS) patients who relapsed on prior therapy. DESIGN/METHODS: Core study patients randomized to alemtuzumab received 12 mg/day intravenously on 5 consecutive days and on 3 consecutive days 12 months later. In the extension study (NCT00930553), alemtuzumab-treated patients could receive as-needed retreatment 蠅1 year after the previous course. MRI scans were acquired at baseline and yearly thereafter. MRI outcomes included gadolinium (Gd)-enhancing, new/enlarging T2 hyperintense and new T1 hypointense lesion activity, and MRI activity (absence of Gd-enhancing and new/enlarging T2 lesions). RESULTS: 393 (92.9[percnt]) CARE-MS II alemtuzumab-treated patients entered the extension; data are available through 4 years from first treatment, and follow-up is ongoing. Through 4 years, 67.7[percnt] of patients received only the initial 2 courses of treatment, 24.2[percnt] received 1 additional course, and 7.4[percnt] received 2 additional courses. In Year 3 and Year 4, the proportions of patients free of Gd-enhancing (86.5[percnt] and 89.1[percnt]), new/enlarging T2 (69.0[percnt] and 70.3[percnt]) or new T1 lesions (87.5[percnt] and 86.3[percnt]) remained stable. Most patients were MRI activity-free at Year 3 (68.4[percnt]) and Year 4 (69.9[percnt]). CONCLUSIONS: The majority of alemtuzumab patients remained free of new lesions and MRI activity in Year 4 despite 68[percnt] of the patients receiving their last treatment course 3 years previously. These findings support the durable efficacy of alemtuzumab in this RRMS population. 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)0.002
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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
Published2015
Admission routes1
Has abstractyes

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