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Record W2092301989 · doi:10.1111/ane.12405

The epidemiology of multiple sclerosis in the Isle of Man: 2006-2011

2015· article· en· W2092301989 on OpenAlexfundno aff
Steve Simpson, Sabar Mina, Heather Morris, Shagufay Mahendran, Bruce Taylor, M. Boggild

Bibliographic record

VenueActa Neurologica Scandinavica · 2015
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsnot available
FundersMinistère de la Santé et des Services sociaux
KeywordsDemographyEpidemiologyIncidence (geometry)Poisson regressionMedicineSex ratioPrevalenceConfidence intervalMultiple sclerosisRate ratioMortality ratePopulationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

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.

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)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.242
GPT teacher head0.354
Teacher spread0.112 · 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.

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

Citations8
Published2015
Admission routes1
Has abstractyes

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