Osteogenesis Imperfecta Types I, III, and IV: Effect of Pamidronate Therapy on Bone and Mineral Metabolism
Bibliographic record
Abstract
Cyclical iv therapy with pamidronate improves the clinical course in children and adolescents with osteogenesis imperfecta (OI). In this study we evaluated the effect of this therapy on bone and mineral metabolism in 165 patients with OI types I, III, and IV (age, 2 wk to 17.9 yr; 86 girls and 79 boys). All patients received iv pamidronate infusions on 3 successive days, administered at age-dependent intervals of 2-4 months. During the 3 d of the first infusion cycle, serum concentrations of ionized calcium dropped by 0.14 +/- 0.008 mmol (mean +/- SE; P < 0.001), and serum PTH levels transiently almost doubled (P < 0.001). At the same time, urinary excretion of the bone resorption marker type I collagen N-telopeptide related to creatinine (uNTX/uCr) decreased by 61-73% (P < 0.001). Two to 4 months later, ionized calcium had returned to pretreatment levels, and uNTX/uCr remained 30-35% lower than at baseline (P < 0.001). During 4 yr of pamidronate therapy (n = 40 patients), ionized calcium levels remained stable, but PTH levels increased by about 30% (P < 0.01). uNTX/uCr, expressed as a percentage of the age- and sex-specific mean value in healthy children, decreased from 132 +/- 13% (mean +/- SE) at baseline to 49 +/- 3% after 4 yr of therapy (P < 0.001). In conclusion, serum calcium levels can decrease considerably during and after pamidronate infusions, requiring close monitoring especially at the first infusion cycle. In long-term therapy, bone turnover is suppressed to levels lower than those in healthy children. The consequences of chronically low bone turnover in children with OI are unknown at present.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 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".