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Incidence of Infection Decreases Over Time in Alemtuzumab-Treated Patients With Relapsing-Remitting Multiple Sclerosis: 4-Year Follow-up of the CARE-MS Studies (P7.265)

2015· article· en· W1606854347 on OpenAlexaff
Lily Jung Henson, Douglas L. Arnold, Jeffrey Cohen, Alasdair Coles, Edward Fox, Hans‐Peter Hartung, Eva Havrdová, Krzysztof Selmaj, David Margolin, Bella Ertik, Jeffrey Palmer, Michael Panzara, D. A. S. Compston

Bibliographic record

VenueNeurology · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcGill UniversityNeuroRx Research (Canada)Montreal Neurological Institute and Hospital
Fundersnot available
KeywordsAlemtuzumabMultiple sclerosisRelapsing remittingMedicineIncidence (geometry)Dimethyl fumarateInternal medicinePediatricsImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate risk of infection during 4-year follow-up of the pooled CARE-MS studies. BACKGROUND: Alemtuzumab demonstrated superior efficacy over subcutaneous interferon beta-1a (SC IFNB-1a) and manageable safety in the 2-year, phase 3 CARE-MS I and II studies in patients with relapsing-remitting multiple sclerosis. Infections were more common with alemtuzumab (67[percnt]-77[percnt]) than with SC IFNB-1a (45[percnt]-66[percnt]). DESIGN/METHODS: Patients who were treatment-naive (CARE-MS I; NCT00530348) or had relapsed on prior therapy (CARE-MS II; NCT00548405) received alemtuzumab 12 mg/day intravenous on 5 consecutive days at baseline and 3 consecutive days 12 months later, and as-needed alemtuzumab retreatment in an ongoing extension study (NCT00930553). Herpes prophylaxis was introduced per protocol amendment (acyclovir 200 mg twice daily, during each alemtuzumab course and 28 days thereafter). RESULTS: 811 patients were treated with alemtuzumab 12 mg in the core studies; 742 entered the extension. Over 4 years, 70.4[percnt] did not receive additional alemtuzumab treatment after the initial 2 courses; 22.6[percnt] did receive a third course and 6.1[percnt] a fourth. Infection incidence declined from Year 1 (59.9[percnt]) to Years 2 (55.1[percnt]), 3 (48.2[percnt]), and 4 (46.0[percnt]), as did the rate of infections by treatment course (1.369 events/patient-year in the year after the first course, 0.939 [second course], 0.772 [third course], and 0.622 [fourth course]). Infections were predominantly mild to moderate; none led to withdrawal from study or from alemtuzumab treatment. Most common infections were nasopharyngitis, urinary tract infection, upper respiratory tract infection. Serious infection rate remained low over 4 years (range, 0.005-0.030 events/patient-year), with 1 death (Year 3, sepsis in the setting of untreated pancytopenia). CONCLUSIONS: Infections were common with alemtuzumab but were predominantly mild or moderate. Infection risk declined over time, and successive courses of alemtuzumab were not associated with an increased rate of infection. 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)0.008
metaresearch head score (Gemma)0.015
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 score0.008
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.292
Teacher spread0.241 · 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

Citations5
Published2015
Admission routes1
Has abstractyes

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