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P0432 CAN TTG REPLACE SMALL BOWEL BIOPSY TO DIAGNOSE CELIAC DISEASE IN SELECT PEDIATRIC POPULATIONS?

2004· article· en· W4390568685 on OpenAlexaff
Collin Barker, Gareth Jevon, Cheng‐Han Lee, Thomas S. Mock

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2004
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal disorders and treatments
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineColumbia universitySurgical pathologyGeneral surgeryPediatric gastroenterologyUniversity hospitalLibrary scienceFamily medicinePathologyDiseaseMedia studies

Abstract

fetched live from OpenAlex

Introduction: The increasingly widespread use of screening tests for celiac disease (CD) has raised the awareness and the number of patients referred for investigation. The current gold standard for the diagnosis of CD is the histological analysis of a small intestinal (SI) biopsy. Commercially available IgA anti-tissue transglutaminase antibody (TTG) screening tests have high sensitivities and specificities using manufacturer recommended cut-off values. We propose that the subgroup of patients with very high TTG titres is positive for CD, a SI biopsy is not always necessary to make the diagnosis and a gluten-free diet should be trialed. If the patient’s symptoms do not improve then a SI biopsy should be performed. Methods: We conducted a retrospective chart review of 104 patients that had both a TTG and SI biopsy at BC Children’s Hospital between September 2000 and October 2003. The biopsies were reviewed by a pathologist blinded to the TTG results and previous biopsy reports. Manufacturer’s recommended and previously validated in hospital TTG value cut-offs were; <20 negative and >=20 positive. Our lab reports individual values from 1 to 100 and >100 using a semi-quantitative ELISA. We used TTG >100 and <20 for cut-offs and suggested biopsying patients with TTG values between 20–100. Results: 59/104 patients were biopsy positive, 14 males and 45 females. 45/104 were negative, 24 males and 21 females. Predispositions to celiac disease included IDDM=14, thyroid disease=4, Down’s syndrome=4, celiac disease in a first degree relative=6 and autoimmune disease in the family=12. Three patients with TTG <20 had positive biopsies, 2 were IgA deficient and 1 had no IgA reported. Predisposition to CD was not related to a TTG >100 or a positive biopsy. Conclusion: By changing the cut-off values for our TTG kit to >100 and <20 and checking for selective IgA deficiency, we found TTG to be highly accurate for celiac disease. If patients do not improve on the gluten-free diet, then they should be investigated with a SI biopsy. Patients with TTG values of 20–100 or <20 with known IgA deficiency need to be biopsied to diagnose CD. This proposal could shorten the time to diagnosis, eliminate the need for some patients to undergo a SI biopsy and save patient and hospital expenses.

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)0.002
metaresearch head score (Gemma)0.010
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.262
Teacher spread0.246 · 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".

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Citations0
Published2004
Admission routes1
Has abstractyes

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