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Record W2027808292 · doi:10.1517/14656566.7.1.s1

Disease-modifying drugs for multiple sclerosis: current and future aspects

2006· review· en· W2027808292 on OpenAlexaff
Mark S. Freedman

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2006
Typereview
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGlatiramer acetateMultiple sclerosisMedicineDiseaseDemyelinating diseaseRelapsing remittingPharmacologyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Multiple sclerosis (MS) is the most common inflammatory demyelinating disorder of the human CNS, affecting an estimated 2.5 million people in the world. Until the 1990s, treatment was mainly symptomatic, but a new era began with the introduction of disease-modifying therapy that seems to alter the natural course of MS. Current drugs include three interferons (IFNs): IFN-beta1a (Avonex intramuscular; Biogen, Cambridge, USA; Rebif subcutaneous; Serono, Geneva, Switzerland), IFN-beta1b (Betaseron subcutaneous; Schering, Berlin, Germany) and glatiramer acetate (Copaxone subcutaneous; Teva, Petach Tikva, Israel). Ongoing research targeting a variety of mechanisms and processes means there is much promise for the future treatment of MS.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.216
GPT teacher head0.467
Teacher spread0.251 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations33
Published2006
Admission routes1
Has abstractyes

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