Height and Weight Development During Four Years of Therapy With Cyclical Intravenous Pamidronate in Children and Adolescents With Osteogenesis Imperfecta Types I, III, and IV
Bibliographic record
Abstract
OBJECTIVES: Treatment with pamidronate improves the clinical course in children with osteogenesis imperfecta (OI), but theoretically might affect longitudinal growth. In this study we analyzed growth during cyclical intravenous pamidronate treatment in children and adolescents (age.04-15.6 years at baseline) with moderate to severe forms of OI types I, III, and IV. METHODS: The effect of 1 year of pamidronate treatment on height and weight was analyzed in 116 patients (OI-I, N = 29; OI-III, N = 42; OI-IV, N = 45). The results of 4 years of therapy were evaluated in 41 children (OI-I, N = 12; OI-III, N = 14; OI-IV, N = 15). RESULTS: Baseline height was low for age in all OI types. After 1 year of pamidronate therapy, height z scores had increased significantly in OI-III (by 0.3 +/- 0.8, mean +/- standard deviation; P =.04) and did not change in OI-I and OI-IV. Weight z scores increased significantly in OI-I (by 0.2 +/- 0.4, P =.01). After 4 years of pamidronate therapy, mean height z scores increased significantly in OI-IV (by 0.41 +/- 0.71, P =.04), whereas nonsignificant trends to increase were found for OI-I and OI-III. When height was expressed as a percentage of the result expected for untreated patients with the same OI type, long-term pamidronate therapy was associated with a significant height gain in all 3 OI types (P <.001). Eight patients who reached final height after 3.0 +/- 1.0 years of treatment were taller on average than expected for untreated patients (P =.04). CONCLUSIONS: Four years of cyclical intravenous pamidronate treatment led to a significant height gain in moderately to severely affected OI patients.
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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 | 0.002 |
| 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".