MétaCan
Menu
Back to cohort
Record W2089010499 · doi:10.7224/1537-2073-12.1.42

The Efficacy of Interferon Beta in Delaying Conversion to Clinically Definite Multiple Sclerosis

2010· article· en· W2089010499 on OpenAlexaff
Marcelo Kremenchutzky, R. Philip Kinkel

Bibliographic record

VenueInternational Journal of MS Care · 2010
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsLondon Health Sciences Centre
FundersEMD SeronoBiogen
KeywordsMedicineAsymptomaticMultiple sclerosisClinically isolated syndromeMagnetic resonance imagingInterferonInternal medicineRadiologyImmunology

Abstract

fetched live from OpenAlex

More than half of patients with a clinically isolated syndrome (CIS) develop clinically definite multiple sclerosis (CDMS). Patients at high risk for CDMS often present with asymptomatic lesions characteristic of CDMS on magnetic resonance imaging scans, although an absence of asymptomatic lesions is not atypical. Phase 3 studies of interferon beta in patients with a CIS suggest that this treatment can delay conversion to CDMS and reduce the risk of new asymptomatic white matter lesions. We reviewed phase 3 studies (CHAMPS, BENEFIT, and ETOMS) and post hoc analyses assessing the efficacy of interferon beta in delaying CDMS in patients with a CIS. The evidence supports early initiation of treatment.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.181
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0010.000
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 head0.067
GPT teacher head0.361
Teacher spread0.294 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of MS CareSame topicMultiple Sclerosis Research StudiesFrench-language works237,207