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Record W2079219992 · doi:10.1002/mds.20058

Clinical characteristics of Parkinson's disease among Inuit in Greenland and inhabitants of the Faroe Islands and Als (Denmark)

2004· article· en· W2079219992 on OpenAlexaboutno aff
Lene Wermuth, Nick Bünger, Paul Von Weitzel‐Mudersback, H. Pakkenberg, Bernard Jeune

Bibliographic record

VenueMovement Disorders · 2004
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsParkinsonismLevodopaMedicineParkinson's diseaseDiseaseDemographyPediatricsInternal medicine

Abstract

fetched live from OpenAlex

In earlier studies, we found high age-adjusted prevalences of Parkinson's disease (PD) in the Faroe Islands (209 per 100,000 inhabitants) and in Greenland (187.5 per 100,000 inhabitants) compared to the age-adjusted prevalence on the island of Als in the southern part of Denmark (98.3 per 100,000 inhabitants). We thoroughly examined patients with suspected parkinsonism using internationally accepted diagnostic criteria. In the present study, we found no significant clinical differences between patients with PD in the three areas, despite this high difference in prevalence. However, comparing the age at examination and age at treatment, the patients were younger in Greenland, a higher proportion of patients had cognitive decline, and they had a higher mean Hoehn and Yahr rating score, although they received a lower levodopa dose. A higher proportion of the patients in Greenland were newly diagnosed than in the other two areas.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.067
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.262
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2004
Admission routes1
Has abstractyes

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