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Neurological Manifestations of Celiac Disease and Non-Celiac Gluten Sensitivity and the Effect of a Gluten Free Diet

2020· article· en· W3040856000 on OpenAlexaff
Jamie Zhen, María Inés Pinto-Sánchez

Bibliographic record

VenueOBM Neurobiology · 2020
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineEnteropathyMalabsorptionGlutenGastroenterologyAtaxiaDiarrheaDiseaseGluten freePopulationImmunologyInternal medicinePathology

Abstract

fetched live from OpenAlex

Celiac disease (CeD) is an immune-mediated enteropathy triggered by gluten ingestion and affects nearly 1% of the population worldwide. CeD has typically been associated with gastrointestinal symptoms such as diarrhea and abdominal pain; however, its extra-intestinal manifestations are becoming widely recognized. In particular, CeD patients may present with various neurological manifestations and oftentimes, without evidence of gastrointestinal symptoms. The pathophysiology behind these manifestations is not well known, however, it is hypothesized that they may include vitamin deficiencies from malabsorption, direct gluten toxicity, and immune-mediated inflammation. The most common neurological manifestations include gluten ataxia, migraines, epilepsy, and neuropathies, but may also involve dementia, myopathies, and movement disorders. The first line treatment for CeD is typically a strict gluten-free diet, however its effect on neurological manifestations is less clear. Non-celiac gluten sensitivity/non-celiac wheat sensitivity (NCGS/NCWS) represents a condition where the ingestion of gluten causes symptoms similar to CeD, but CeD-specific enteropathy or serology are both absent. Several lines of research do not differentiate CeD and NCGS/NCWS and as a result, NCGS/NCWS is often under-studied. This study seeks to review the evidence regarding the neurological manifestations of CeD, the effect of a gluten-free diet, and highlight studies investigating NCGS/NCWS as a distinct entity from CeD.

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)0.000
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 score0.202
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.009
GPT teacher head0.246
Teacher spread0.238 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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