Bibliographic record
Abstract
Studies using dual-energy X-ray absorptiometry have suggested a high prevalence of osteoporosis in inflammatory bowel disease. However, population-based data on fracture incidence suggest only a small increased risk of fracture amongst patients with inflammatory bowel disease compared with the general population. Therefore, it would be helpful to identify patients with inflammatory bowel disease at particularly high risk for fracture so that these risks might be modified or interventions might be undertaken. The data on calcium intake as a predictor of bone mineral density are conflicting. Although there are data suggesting that a one-time survey to determine current calcium intake will not help to predict bone mineral density in inflammatory bowel disease, persistently reduced calcium intake does appear to lead to lower bone mineral density. In the general population, body mass is strongly correlated with bone mineral density, which also appears to be true in Crohn's disease. Hence, subjects with inflammatory bowel disease and considerable weight loss, or who are obviously malnourished, could be considered for bone mineral density testing, and the finding of a low bone mineral density would suggest the need for more aggressive nutritional support. Although vitamin D is undoubtedly important in bone health, vitamin D intake and serum vitamin D levels do not correlate well with bone mineral density. Sex hormone deficiency can also adversely affect bone health, although a well-developed strategy for sex hormone measurements in patients with inflammatory bowel disease remains to be established. Ultimately, the determination of genetic mutations that accurately predict fracture susceptibility may be the best hope for developing a simplified strategy for managing bone health in inflammatory bowel disease. The therapy of osteoporosis in inflammatory bowel disease has been adapted from other osteoporosis settings, such as post-menopausal or corticosteroid-induced osteoporosis. To date, there remains no therapy proven to be efficacious in inflammatory bowel disease-related osteoporosis; however, calcium and vitamin D supplementation and bisphosphonates have their roles.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".