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Record W2042892682 · doi:10.1007/s00415-012-6656-6

Future MS care: a consensus statement of the MS in the 21st Century Steering Group

2012· article· en· W2042892682 on OpenAlexaffabout
Alexey Boyко, Diego Centonze, Alasdair Coles, Irina Elovaara, Eva Havrdová, O. R. Hommes, Jacques LeLorier, Sarah A. Morrow, Celia Oreja‐Guevara, Nick Rijke, Sven Schippling

Bibliographic record

VenueJournal of Neurology · 2012
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsNeuroradiologyNeurologyStatement (logic)Steering committeePsychologyMedicinePsychiatryPolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

The "MS in the 21st Century" initiative was established with the purpose of (1) defining how multiple sclerosis (MS) treatment and standards of care should look in the 21st century; (2) developing a minimum standard of care across the world; and (3) motivating the broad MS community to align standards of care and challenge the current treatment paradigm. The aim was to develop a consensus statement to reach and influence the broader MS community. An expert steering group from Europe and Canada-consisting of neurologists, patient advocates, a pharmacoepidemiologist/pharmacoeconomist, and representatives from national MS centers-participated in a series of workshop-driven meetings between February 2011 and 2012. After three phases of discussions, the steering group identified that the overall vision for future care of MS should be full access to personalized treatment, with reimbursement, to achieve freedom from disease. They constructed seven overall principles that support this vision: personalized care, patient engagement, commitment to research, regulatory body education and reimbursement issues, new endpoints in clinical trials, more therapy options, and MS centers of excellence. This consensus statement outlines the key aspects of the seven principles that need to be addressed. The "MS in the 21st Century Steering Group" hopes that this consensus statement acts as a call to action for healthcare providers and decision-makers to address simultaneously the overarching principles that will guide patient management in order to improve outcomes for people with 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)0.001
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 score0.116
Threshold uncertainty score0.296

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.038
GPT teacher head0.315
Teacher spread0.276 · 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

Citations30
Published2012
Admission routes2
Has abstractyes

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