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Treatment-Naive Patients with Active RRMS Demonstrate Durable Improvements in Relapse and Disability Following Treatment with Alemtuzumab: 5-Year Follow-Up of the CARE-MS I Study (S51.004)

2016· article· en· W2581226447 on OpenAlexaff
Volker Limmroth, Gavin Giovannoni, Douglas L. Arnold, Jeffrey Cohen, Alasdair Coles, Edward Fox, Hans‐Peter Hartung, Eva Havrdová, Krzysztof Selmaj, David Margolin, Karthinathan Thangavelu, D. A. S. Compston

Bibliographic record

VenueNeurology · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsMcGill UniversityNeuroRx Research (Canada)Montreal Neurological Institute and Hospital
Fundersnot available
KeywordsAlemtuzumabMedicineMultiple sclerosisInternal medicineOncologyPhysical therapyImmunology

Abstract

fetched live from OpenAlex

Objective: To examine 5-year clinical efficacy and safety in CARE-MS I alemtuzumab-treated patients. Background: In CARE-MS I (NCT00530348), patients who were treatment-naive at baseline with active relapsing-remitting MS (RRMS) showed significantly reduced annualized relapse rate (ARR) with alemtuzumab versus SC IFNB-1a over 2 years. Efficacy was durable through 4 years. Design/Methods: In the CARE-MS I core study, alemtuzumab patients received 2 annual treatment courses at Months 0 and 12. Patients could enter an extension (NCT00930553), with as-needed alemtuzumab retreatment for relapse or radiological activity. Endpoints included ARR, 6-month confirmed disability progression (≥1-point Expanded Disability Status Scale [EDSS] increase [≥1.5-point if baseline EDSS=0]), 6-month sustained reduction in preexisting disability (SRD; ≥1-point EDSS decrease [baseline score ≥2.0]), and no evidence of clinical disease activity (absence of relapse and 6-month disability progression). Results: 349 (95[percnt]) alemtuzumab-treated patients completing CARE-MS I enrolled in the extension. Through 5 years, 96[percnt] remained on study, 68[percnt] received no alemtuzumab since the initial 2 core study courses, and 2[percnt] received another disease-modifying therapy. Low ARR (0.16) was maintained over Years 3-5. Through Years 0-5, 80[percnt] of patients were free from 6-month confirmed disability progression, 82[percnt] had stable or improved EDSS, and 33[percnt] achieved 6-month SRD. Most patients (65[percnt]) had no evidence of clinical disease activity over Years 3-5. Incidences of infusion-associated reactions and infections during the extension were reduced versus core study; serious adverse event (AE) incidence was low. Thyroid AE incidence peaked at Year 3 and subsequently declined. Conclusions: Alemtuzumab demonstrated durable improvements in relapse and disability over 5 years despite most patients not receiving alemtuzumab for 4 years. Based on these findings, alemtuzumab may provide a unique treatment approach with durable efficacy in the absence of continued treatment for RRMS patients. 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)0.002
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
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)0.0020.001

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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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