Strongly Positive Tissue Transglutaminase Antibody Assays without Celiac Disease
Bibliographic record
Abstract
Celiac disease is a small bowel disorder characterized by flattened villi and crypt hyperplasia, often with malabsorption. Improvement occurs with a gluten-free diet. Sensitive and specific assays (eg, immunoglobulin A antibodies to tissue transglutaminase [tTG]) that can be quantified appear to be valuable tools for population screening studies. In addition, their use is expanding widely in the clinical practice arena, being employed as a method of case finding. In this evaluation, clinical use of a commercially available test kit was explored. Of 1330 samples submitted to our hospital laboratory by physicians in British Columbia, Alberta and the Yukon Territory (from 1999 to 2003, inclusive), 96 patients (7%) had increased values (normal range greater than 20 units) and markedly increased levels greater than 100 units were detected in 36 patients (3%). Of these, 14 patients (almost 40%) were referred to gastroenterologists in our hospital and all 14 had small intestinal biopsies. Of these, three patients (more than 20%) did not have celiac disease. Two had normal small bowel biopsies and one had unclassified sprue or 'sprue-like' intestinal disease that failed to respond to a gluten-free diet. The other 11 had biopsy-defined celiac disease. While the tTG assay may be a useful predictor of celiac disease, small intestinal biopsy is still required to confirm the diagnosis. In clinical practice, even strongly positive tTG results are not specific in individual patients, do not necessarily correlate with the degree of severity of biopsy change and, as a result, are also unlikely to be useful for monitoring diet compliance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".