The Changing Frequency of Celiac Disease Diagnosed at the Stollery Children’s Hospital
Bibliographic record
Abstract
BACKGROUND: Celiac disease (CD) is recognized as one of the most common and important autoimmune gastrointestinal disorders affecting children. There is evidence that a diagnosis of CD during childhood improves health outcomes. The increasing prevalence of CD is due to increased awareness of the wide range of extraintestinal symptoms associated with CD. OBJECTIVE: To determine whether there has been a temporal increase in the diagnosis of CD associated with an increased diagnosis of children without typical gastrointestinal symptoms at the Stollery Children's Hospital (Edmonton, Alberta). METHODS: Patients with biopsy-proven CD diagnosed at the Stollery Children's Hospital from 1998 to 2007, were identified by retrospective chart review. Baseline and follow-up data, including demographics, symptoms, risk factors, anthropometrics and laboratory investigations, were collected. RESULTS: An increase in the frequency of diagnosis of CD was noted during the study period, particularly from January 2003 onward. Before January 2003, nine children were diagnosed with CD - all with typical symptoms. Between January 2003 and January 2007, inclusive, 149 children were diagnosed with CD, of whom 46% had absent or atypical symptoms. At follow-up, 96% of patients reported improved symptoms, including 53% of individuals who reported being asymptomatic before diagnosis. CONCLUSIONS: In the last four years of the period studied, the number of children diagnosed with CD at Stollery Children's Hospital increased 11-fold. Screening children at risk for CD, and those with atypical presentations, contributed to the increased number of diagnoses. Identification of CD and establishment of lifelong, dietary gluten avoidance during childhood has important health benefits and should be encouraged.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".