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Safety and tolerability of interferon beta-1b in pediatric multiple sclerosis

2006· article· en· W2152959293 on OpenAlexaff
Brenda Banwell, Anthony T. Reder, Lauren Krupp, Sílvia Tenembaum, Mefkûre Eraksoy, Alexey Bersenev, Daniela Pohl, Mark S. Freedman, Lilien Schelensky, Irina Antonijevic

Bibliographic record

VenueNeurology · 2006
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTolerabilityMedicineAdverse effectMultiple sclerosisCohortInternal medicinePediatricsImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Immunomodulatory therapies are widely used in adults with multiple sclerosis (MS) and safety and tolerability is well-established. Although at least 5% of all patients with MS experience the clinical onset of their disease prior to age 18 years, the available literature on safety and tolerability of immunomodulatory therapies for pediatric-onset MS is limited. METHODS: The authors retrospectively reviewed safety and tolerability of interferon beta-1b (IFNbeta-1b) in a cohort of 43 children and adolescents treated for a mean of 29.2 months (SD 22.3 months). RESULTS: Mean age at start of IFNbeta-1b treatment was 13 years. Eight children were < or =10 years. Most common adverse events included flu-like syndrome (35%), abnormal liver function test (26%), and injection site reaction (21%). No serious or unexpected adverse events were reported. CONCLUSIONS: Although data on long-term effects on the maturing organ systems are lacking, the safety profile supports the safety and tolerability of interferon beta-1b (IFNbeta-1b) in children with multiple sclerosis and related diseases. All patients treated with IFNbeta-1b should undergo regular monitoring of liver function.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.279
Teacher spread0.234 · 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 teacher head, 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

Citations170
Published2006
Admission routes1
Has abstractyes

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