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Incidence and prevalence of multiple sclerosis in Saskatoon, Saskatchewan

2007· article· en· W2056561431 on OpenAlexaffabout
Walter Hader, Irene M. Yee

Bibliographic record

VenueNeurology · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of Saskatchewan
FundersVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsIncidence (geometry)MedicineDemographyPrevalencePopulationMultiple sclerosisEpidemiologyResidenceRate ratioPediatricsInternal medicineEnvironmental healthImmunology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the incidence of multiple sclerosis (MS) in a longitudinal surveillance over 35 years and to estimate the prevalence rate in Saskatoon, Saskatchewan, on January 1, 2005. METHODS: A population-based registry was established in 1969, and identification of cases continued to 2005, from medical records, physicians, neurologists, community and provincial resources. A modified classification of Allison and Millar and the Schumacher diagnostic criteria were originally applied, and patients with definite and probable MS were included. The rates were age- and sex-adjusted to the US, European, and world 2000 populations. RESULTS: From 1970 to 2004, there were 558 incidence cases identified, 402 women and 156 men, for a sex ratio of 2.6:1 The average annual incidence rate was 9.5 in 100,000 (95% CI 8.8 to 10.4) and was stable over the three decades. The innate risk or residence at onset rate was 197 in 100,000 (95% CI 170 to 226). The crude prevalence rate for the living 587 cases on January 1, 2005, was 298.3 in 100,000 (95% CI 274.7 to 323.6). CONCLUSIONS: The incidence and prevalence rates adjusted to the standardized populations were statistically higher than the longitudinal European studies and similar to North American studies. Our incidence study confirms the high risk of multiple sclerosis (MS) in Saskatoon, and these rates seem to be stable over the past 35 years. The high crude prevalence rate results from an accumulation of incidence and nonresident cases over time. Long-term follow-up studies and comparison with standardized populations are recommended to estimate reliable incidence and the true risk of MS in the world.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.116
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.048
GPT teacher head0.302
Teacher spread0.255 · 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

Citations63
Published2007
Admission routes2
Has abstractyes

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