Natural history of bone metabolism and bone mineral density in children with inflammatory bowel disease
Bibliographic record
Abstract
BACKGROUND: In children with inflammatory bowel disease (IBD) it is not known whether reductions in bone mineral density (BMD) are a consequence of bone turnover alterations and if BMD improves with treatment. METHODS: In a cohort of children with IBD, we prospectively measured indicators of bone remodeling, body mass index (BMI), disease activity, intact parathyroid hormone, serum IL-6, and insulin-like growth factor-I at diagnosis and then every 6 months for 2 years. BMD was determined annually using dual x-ray absorptiometry (DXA). BMD Z-scores were calculated using height/age. Baseline measurements and calcium intake were compared with a group of age- and sex-matched healthy children. RESULTS: We observed that at diagnosis total body BMD Z-score (mean +/- SD) was -0.78 +/- 1.02 for Crohn's disease (CD, n = 58), -0.46 +/- 1.14 for ulcerative colitis (UC, n = 18), and -0.17 +/- 0.95 for control (CL, n = 49) (P < 0.01, CD versus CL). In CD, a BMD Z-score <-1.0 was associated with lower BMI and higher serum IL-6. Patients with CD and UC had low bone turnover. Activation of bone formation paralleled clinical improvement, but BMC gain was less than expected over the 2-year study period, especially in CD. Prednisone use did not correlate with low BMD. CONCLUSIONS: Decreased bone turnover occurs in children newly diagnosed with IBD. Although indicators of osteoblast activity increase with clinical improvement, bone mineral accrual does not accelerate. Children with low BMI may be considered for BMD screening, since they are at risk for low bone mass.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".