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Record W1546612386 · doi:10.1155/2008/824631

Neurological Disorders in Adult Celiac Disease

2008· review· en· W1546612386 on OpenAlexaffvenue
Hugh James Freeman

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2008
Typereview
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineAtaxiaDementiaDiseaseGlutenNeurological disorderCoeliac diseaseGastroenterologyNeurologyPediatricsInternal medicineCentral nervous system diseasePathologyPsychiatry

Abstract

fetched live from OpenAlex

Celiac disease may initially present as a neurological disorder. Alternatively, celiac disease may be complicated by neurological changes. With impaired nutrient absorption, different deficiency syndromes may occur and these may be manifested clinically with neurological changes. However, in patients with deficiency syndromes, extensive involvement of the small intestine with celiac disease is often evident. There are a number of reports of celiac disease associated with neuropathy, ataxia, dementia and seizure disorder. In these reports, there is no clear relationship with nutrient deficiency and a precise mechanism for the neurological changes has not been defined. A small number of patients have been reported to have responded to vitamin E administration, but most do not. In some, gluten antibodies have also been described, especially in those with ataxia, but a consistent response to a gluten-free diet has not been defined. Screening for celiac disease should be considered in patients with unexplained neurological disorders, including ataxia and dementia. Further studies are needed, however, to determine if a gluten-free diet will lead to improvement in the associated neurological disorder.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations77
Published2008
Admission routes2
Has abstractyes

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