The Prevalence and Clinical Characteristics of Celiac Disease in Juvenile Diabetes in Wisconsin
Bibliographic record
Abstract
BACKGROUND: The relationship between celiac disease and juvenile diabetes has long been known. Only a single study in the United States, from Buffalo, New York, has reported the prevalence of celiac disease in a pediatric diabetic population. This study was conducted to determine the prevalence and clinical presentation of celiac disease in children and adolescents with juvenile diabetes in Wisconsin, USA, using serum antiendomysial antibody as a screening test. METHODS: Two hundred eighteen patients with diabetes (113 males; age range, 4-21 years) and 117 age-and gender-matched control participants were tested for immunoglobulin A endomysial antibody. Patients with positive results were offered a small bowel biopsy. A questionnaire regarding abdominal pain, diarrhea, and growth failure was completed by the parents. RESULTS: Seventeen of 218 diabetic patients (7.7%) had positive endomysial antibody. All control participants had negative results for the endomysial antibody. Small bowel biopsy was performed in 14 patients. Ten patients had villous atrophy. In one patient without villous atrophy, a repeat biopsy 2 years later showed villous atrophy, and two patients had increased intraepithelial lymphocytes without villous atrophy. Seventy percent of the patients with celiac disease were asymptomatic. The reported symptoms were abdominal pain and diarrhea (n = 1) and growth failure (n = 2). Two patients with celiac disease had Down syndrome. CONCLUSIONS: The prevalence of celiac disease in children with juvenile diabetes in Wisconsin is at least 4.6%, which is comparable with European and Canadian studies. Because patients without villous atrophy may have latent celiac disease, the prevalence may be even higher. All children with juvenile diabetes should be screened for celiac disease.
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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 | 0.001 |
| 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 | 0.001 | 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".