The epidemiology of multiple sclerosis in the Isle of Man: 2006-2011
Bibliographic record
Abstract
BACKGROUND: We sought to determine the prevalence of MS on the Isle of Man in 2006 and 2011, and the incidence and mortality rates over this interval. METHODS: Cases were identified by hospital medical record review, General Practitioners and the local MS Society. The significance of the change in prevalence over time and the significance of differences in frequencies by sex and place of birth were assessed by Poisson regression. RESULTS: The 2006 prevalence was 153.64 per 100,000 persons and the 2011 prevalence was 179.89. The prevalence was higher among females and persons born in the Isle of Man at both time points. The 2006-2011 incidence rate was 6.86 per 100,000 person-years, much higher among females and persons born in the Isle of Man. The prevalence sex ratios in 2006 and 2011, 2.77 and 2.59, respectively, and the incidence sex ratio, 2.19, are similar to others found in the region. The mortality rate over the study period was 2.84 per 100,000 person-years, this solely among persons born overseas. CONCLUSIONS: This is the first study of MS epidemiology in the Isle of Man, finding this area to be of high prevalence and to have one of the highest incidence rates in the UK region.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".