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Longitudinal follow-up of “benign” multiple sclerosis at 20 years

2007· article· en· W1989423406 on OpenAlexaff
Ana‐Luiza Sayao, Virginia Devonshire, Helen Tremlett

Bibliographic record

VenueNeurology · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsVancouver Coastal Health
Fundersnot available
KeywordsExpanded Disability Status ScaleMedicineMultiple sclerosisCohortPediatricsPhysical therapyInternal medicineImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate disease status after 20 years in a cohort defined as "benign multiple sclerosis (MS)" (Expanded Disability Status Scale [EDSS] score < or = 3) at 10 years from onset. METHODS: Patients with an EDSS score < or = 3 at 10 (+/- 1) years from onset were selected from the British Columbia MS clinic database. The 20-year EDSS score was the primary outcome. Potential risk factors differentiating those who "continued benign" (EDSS score < or = 3.0) from those who were "no longer benign" (EDSS score > 3.0) at 20 years, including age at onset, onset symptoms, and 10-year EDSS score, were analyzed, and lower 10-year EDSS score cutoffs were investigated. RESULTS: Twenty-year EDSS scores were obtained for 169 of 200 patients (84.5%); of these, 88 (52.1%) continued benign, but 36 (21.3%) progressed to require the use of a cane (EDSS score > or = 6). Conversion to secondary progressive MS occurred in 45 of 196 patients (23%) with a relapsing-remitting onset. The only variable associated with disease progression at 20 years was the 10-year EDSS score (p < 0.0005); no 10-year EDSS score seemed ideal in predicting benign status, and an EDSS score < or = 2 resulted in 32% becoming no longer benign. DISCUSSION: At 10 years from onset, neither an Expanded Disability Status Scale (EDSS) score < or = 3 nor an EDSS score < or = 2 adequately represented "benign multiple sclerosis (MS)" because an appreciable proportion of patients progressed in disease severity. Appropriate and reliable criteria to identify which patients with MS remain with mild disability over the long term have yet to be determined.

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)0.001
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 score0.219
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.093
GPT teacher head0.316
Teacher spread0.223 · 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

Citations146
Published2007
Admission routes1
Has abstractyes

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