MétaCan
Menu
Back to cohort

The natural history of primary progressive MS in British Columbia, Canada

2005· article· en· W2036142819 on OpenAlexaffabout
Helen Tremlett, Donald W. Paty, Virginia Devonshire

Bibliographic record

VenueNeurology · 2005
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNatural historyMedicineExpanded Disability Status ScalePopulationAge of onsetMultiple sclerosisPediatricsDemographyDiseaseInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Primary progressive multiple sclerosis (PPMS) has a distinct clinical phenotype and has historically been understudied with few longitudinal natural history studies spanning a reasonable time period. The authors examined patient characteristics, disease progression, and associated risk factors in the PP population of British Columbia, Canada. METHOD: The authors report on the PP population from an upcoming publication of the natural history study of definite MS in British Columbia, Canada. The main outcome was sustained progression to Expanded Disability Status Scale (EDSS) 6, secondary outcome time to EDSS 8. Risk factors for progression included sex, onset age, onset symptoms, and for time to EDSS 8, time to EDSS 6. RESULTS: Of the 2,837 patients with definite MS in the original study, 352 (12.4%) had PPMS. Mean disease duration was 17.2 years (0.3 to 49.6 years), mean onset age was 40.1 years (SD 11.5), and 53% (187) were female. One-quarter of the population had reached EDSS 6 after 7.3 years from onset, yet another 25% still did not require a cane after 25 years. Sex, onset age, and onset symptoms did not predict progression (p > 0.05). A shorter time to EDSS 6 predicted a shorter time to EDSS 8 (p < 0.0005). DISCUSSION: Progression of disability was slower than found in previous primary progressive multiple sclerosis natural history studies. However, considerable variation existed, with few predictors, other than "sooner to cane, sooner to wheelchair."

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.307
Threshold uncertainty score0.214

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.015
GPT teacher head0.244
Teacher spread0.228 · 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

Citations102
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueNeurologySame topicMultiple Sclerosis Research StudiesFrench-language works237,207