Evaluation and Management of Skeletal Health in Celiac Disease: Position Statement
Bibliographic record
Abstract
OBJECTIVE: To review the evaluation and management of skeletal health in patients with celiac disease (CD), and to make recommendations on screening, diagnosis, treatment and follow-up of low bone mineral density (BMD) in CD patients. METHODS: A multidisciplinary team developed clinically relevant questions for review. An electronic search of the literature was conducted using the MEDLINE and EMBASE databases from 1996 to 2010. All original studies, reviews and guidelines, both pediatric and adult, were included. A document summarizing the results of the review and proposed recommendations was prepared and underwent multiple revisions until consensus was reached. RESULTS: At diagnosis, approximately one-third of adult CD patients have osteoporosis, one-third have osteopenia and one-third have normal BMD. Children with CD have low bone mass at diagnosis. Adult and pediatric CD patients are at increased risk of fractures. DISCUSSION: For adults, serum calcium, albumin, 25(OH) vitamin D3, parathyroid hormone and 24 h urine calcium testing should be performed at diagnosis; patients with 'classic' CD and those at risk for osteoporosis should undergo a dual x-ray absorptiometry scan. An abnormal baseline dual x-ray absorptiometry scan should be repeated one to two years after initiation of a gluten-free diet (GFD). For children, BMD should be assessed one year after diagnosis if GFD adherence is not strict. A GFD is the most important treatment for bone loss. Supplemental antiresorptives may be justified in those who remain at high fracture risk (eg, postmenopausal women, older men) after implementation of a GFD. CONCLUSION: Current evidence does not support the screening of all CD patients for low BMD at diagnosis. Follow-up BMD assessment should be performed one to two years after initiation of a GFD.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".