Characteristics of multiple sclerosis in aboriginals living in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to identify and describe the demographic and clinical characteristics of multiple sclerosis (MS) in aboriginals in British Columbia (BC), Canada and compare these findings with non-aboriginal MS patients. METHODS: This retrospective chart and database review accessed patient information from the linked BC-wide MS clinical and genetics databases. Data gathered included: demographics (age, sex and ethnicity); clinical characteristics (MS onset date, disease course and disability scores (Expanded Disability Status Scale [EDSS]). Aboriginals were identified via the database linkage augmented by physician and nurse recall. Two non-aboriginal comparator groups with definite MS were selected. Group one included all definite MS patients in the BC MS database, and group two comprised MS patients matched by sex, age at onset and initial disease course. Patient characteristics were compared using the Student's t-test, chi-squared test, and Kaplan-Meier survival analysis was used to examine disease progression (time to sustained and confirmed EDSS 6) RESULTS: We identified 26 aboriginals with MS, of which 19/26 (73%) were female, 23/26 (89%) had relapsing-onset MS and a mean onset age of 31.1 years. There were no significant differences between the MS aboriginals and the non-matched (n = 5708) comparator group with respect to age, sex or disease course (p > 0.1), However, aboriginals progressed more rapidly to EDSS 6 from disease onset (p < 0.001) when compared with the matched and unmatched comparator groups. CONCLUSION: We identified a small, but important cohort of aboriginals with MS; being the largest identified to date. There was evidence of more rapid MS progression in aboriginals compared with non-aboriginals.
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How this classification was reachedexpand
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".