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Record W4402115207 · doi:10.14740/gr1737

Adult-Onset Autoimmune Enteropathy Mimicking Disaccharidase Deficiency

2024· article· en· W4402115207 on OpenAlexvenueno aff
Georgeta Giblen, Jerry Huang, Brandon Yu, Jinping Lai

Bibliographic record

VenueGastroenterology Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsDisaccharidaseEnteropathyMedicineProtein losing enteropathyGastroenterologyInternal medicineSmall intestine

Abstract

fetched live from OpenAlex

Adult-onset autoimmune enteropathy is a rare disorder characterized by severe diarrhea, weight loss, malnutrition, and enteric mucosal atrophy resulting from immune-mediated injury. Disaccharidase deficiencies are a group of disorders characterized by inadequate activity of disaccharidase in the small intestine, leading to impaired digestion of disaccharides and malabsorption. Here, we present a case of adult-onset autoimmune enteropathy initially diagnosed as disaccharidase deficiency based on the clinical symptoms of chronic diarrhea, weight loss, and severely reduced levels of lactase, maltase, palatinase, and sucrase in duodenal aspirates. However, follow-up duodenal biopsy revealed markedly villous blunting, goblet and Paneth cell depletion, increased crypt apoptotic bodies and lamina propria lymphoplasmacytic inflammation, leading to a revised diagnosis of autoimmune enteropathy. This case highlights the diagnostic challenges of adult-onset autoimmune enteropathy and the importance of considering it in adults with unexplained gastrointestinal symptoms. It also emphasizes the need for tissue biopsies in cases with inconclusive initial diagnostic tests. Increased awareness of these disorders and their mimickers can improve diagnosis and management, ultimately benefiting patients with these conditions.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.380
Teacher spread0.338 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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