Practical considerations for the identification and follow-up of children with celiac disease
Bibliographic record
Abstract
Celiac disease is an immune-mediated enteropathy affecting 0.5% to 1% of children and is induced by dietary gluten in susceptible individuals carrying the human leukocyte antigen DQ2 or DQ8 heterodimer. If serological screening is positive or if a patient displays suggestive symptoms, an endoscopic biopsy of the distal duodenum is required to confirm the diagnosis. Symptoms of celiac disease are often mild or absent. Overt malabsorption occurs in only 2% to 10% of children. Individuals with a higher risk of developing celiac disease, including first-degree relatives of affected patients and children with type I diabetes, Turner syndrome, Williams syndrome or Down syndrome, should be offered screening for celiac disease along with a discussion of the implications. If serological testing is negative, a high index of suspicion should remain if malabsorption, iron deficiency or osteopenia is present. Also, immunoglobulin A deficiency should be excluded. At-risk individuals should undergo serial serological screening. Lifelong adherence to a gluten-free diet is the only treatment. If left untreated, symptomatic children with celiac disease carry an increased risk of developing osteoporosis and have a greater lifetime risk of cancer. The long-term outcome of undiagnosed or untreated asymptomatic individuals is less clear.
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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 | 0.011 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".