Prevalence of Metabolic Bone Disease in Children With Celiac Disease Is Independent of Symptoms at Diagnosis
Bibliographic record
Abstract
OBJECTIVES: : Given dietary gluten exposure, growing children with celiac disease may experience malabsorption of nutrients, negatively affecting bone health. The purpose of this study was to determine the prevalence of low bone mass in children with celiac disease, according to the presence of symptoms at diagnosis. MATERIALS AND METHODS: : A retrospective chart review of the Stollery Children's Hospital Celiac Clinic charts (April 1989-September 2007) was conducted. Bone mineral density (BMD) of the spine was measured using dual energy x-ray absorptiometry. Demographics, symptoms at presentation, and anthropometric and biochemical data relevant to bone health were recorded. RESULTS: : Seventy-four children (9.6 +/- 3.7 years; range 3.3-16.0 years) were included. Lumbar BMD z scores more than or equal to -1 were observed in 58 cases (65%), z scores below -1 but above -2 were observed in 14 cases (19%) and z scores less than or equal to -2 were observed in 12 cases (16%). There was no significant difference in mean lumbar BMD z scores between symptomatic and asymptomatic children (P = 0.34). When adjusted for bone age and bone surface area, BMD lumbar z score was inversely correlated with age at diagnosis (P < 0.05). CONCLUSIONS: : An equivalent reduction in spine bone mass was observed in children with celiac disease at diagnosis regardless of the presence of symptoms. Delayed diagnosis of children with celiac disease may increase the risk of adult osteoporosis. Appropriate screening of children at risk of celiac disease for the purpose of early diagnosis, as well as routine evaluation of bone mineral density in such children, are important to prevent long-term complications associated with poor bone health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".