Clinical Features of Children With Serology Negative, Biopsy Positive Celiac Disease
Bibliographic record
Abstract
The prevalence of pediatric serological negative celiac disease (SNCD) is poorly described, with few recognized clinical predictors beyond immunoglobulin A (IgA) deficiency or reduced gluten intake. The purpose of this retrospective review was to describe the prevalence of SNCD at the Stollery Children's Hospital and identify clinical features to help in recognition of these cases. Patients with a positive biopsy and negative serology (SNCD) were compared to those with positive biopsy and serology. SNCD diagnosis required clinical correlation and either confirmatory genetics or follow up endoscopy on a gluten-free diet. Of the 424 patients who met celiac disease (CD) criteria, 4.7% (n = 20) fulfilled our criteria for SNCD. There was a significant difference in the rates of IgA deficiency between the 2 groups, but no other clinical features were found that allowed for ready identification of SNCD patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".