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Vitamin D As Predictor Of Multiple Sclerosis Activity And Progression In Patients With CIS Treated Early With Interferon beta-1b (P5.016)

2014· article· en· W1489298845 on OpenAlexaff
Alberto Ascherio, Kassandra L. Munger, Rick White, Karl Köchert, Kelly Claire Simon, Mark Freedman, Hans Hartung, David Miller, Xavier Montalbán, Gilles Edan, Frederik Barkhof, Dirk Pleimes, Rupert Sandbrink, Ludwig Kappos, Christoph Pohl

Bibliographic record

VenueNeurology · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsOttawa HospitalUniversity of British Columbia
Fundersnot available
KeywordsMultiple sclerosisMedicineInterferon betaInterferon beta-1bRelapsing remittingInternal medicineGerontologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the predictive effects of 25(OH)D on disease activity and prognosis in patients starting IFNB-1b at the CIS and the effect of 25(OH)D on the occurrence of flu-like symptoms (FLS) during treatment. BACKGROUND: The BENEFIT study examined the effects of interferon beta-1b (IFNB-1b) in clinically isolated syndrome (CIS). In prior analyses 25-hydroxyvitamin D (25[OH]D) contributed to the prediction of rate of conversion to clinically definite multiple sclerosis (CDMS), MS activity, and rate of progression up to 5-years after CIS. DESIGN/METHODS: Patients with a first clinical demyelinating event and >=2 clinically silent brain MRI lesions randomized to early IFNB-1b treatment with serum 25(OH)D concentration measurements at baseline, 6, 12, and 24 months were included. Clinical and MRI follow-up lasted for 5 years. Cox proportional hazard models or generalized mixed effects models related season-adjusted 25(OH)D concentrations to outcomes. Occurrence of FLS was compared by Chi-Square. RESULTS: Patients were dichotomized into high (>=50 nmol/L) and low (<50 nmol/L) 25(OH)D groups based on season-adjusted 25(OH)D up to 12 months. From Year 1 to Year 5, patients with high 25(OH)D had a lower probability of conversion to CDMS (RR [95% CI]: 0.47 [0.28;0.80], score [logrank] test=8.14 on 1 df, p=0.0043, N=187), cumulative number of new lesions (RR [95% CI]: 0.70 [0.54;0.90], p=0.0055, N=216), percent change in T2 volume (high vs. low: -10 [-19;-2], p=0.016, N=213), and percent change in brain volume (high vs. low: 0.43 [0.14;0.72], p=0.0037, N=170). Occurrence of FLS did not differ between groups at Months 6, 12, and 24 (p>0.28). CONCLUSIONS: Among patients who started IFNB-1b treatment right after CIS, low 25(OH)D levels were a strong risk factor for long-term MS activity and severity but not for the occurrence of FLS, suggesting a role of vitamin D supplementation as an add-on to IFNB-1b in early treatment of patients with MS. Study Supported by: 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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.000

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 head0.024
GPT teacher head0.261
Teacher spread0.237 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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