Temporal trends of disability progression in multiple sclerosis: findings from British Columbia, Canada (1975–2009)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Recent natural history studies suggest that multiple sclerosis (MS) is a more slowly progressing disease than previously thought. These observations are from studies separated by time, geography and methodological approach. OBJECTIVES: We investigated whether MS disease progression has changed over time in British Columbia, Canada. METHODS: The British Columbia MS database was queried for relapsing-onset MS patients with symptom onset from 1975 to <1995, first assessed within 15 years from onset and with at least two Expanded Disability Status Scale (EDSS) scores. Latest follow-up was to 2009. Patients were grouped by 5-year onset intervals (1975 to <1980, 1980 to <1985, 1985 to <1990, 1990 to <1995). Outcome was defined as time to reach sustained and confirmed EDSS 6 within 15 years of disease duration. Kaplan-Meier analysis was used to compare: the proportion of patients reaching EDSS 6 (primary analysis) and the time to EDSS 6 (secondary analysis) across the time-period groups. RESULTS: A total of 2236 relapsing-onset MS patients (73.4% female; mean age at onset: 32.3 ± 8.8 years) were included. No significant temporal trend was found in the proportion of patients reaching EDSS 6 within 15 years from onset (28.5%, 26.4%, 27.7%, 22.3% for intervals 1975 to <1980, 1980 to <1985, 1985 to <1990, 1990 to <1995, respectively; p = 0.09) or in survival curves for time to reach the outcome (p = 0.14). CONCLUSIONS: Rates of disease progression remained relatively stable over two decades of MS onset in British Columbia, Canada. Our results suggest that differences in disease progression findings between natural history studies may be related to factors other than time period.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it