Large Osteoclasts in Pediatric Osteogenesis Imperfecta Patients Receiving Intravenous Pamidronate
Bibliographic record
Abstract
Intravenous pamidronate is widely used to treat children with moderate to severe osteogenesis imperfecta (OI). Changes in the appearance of osteoclasts have previously been noted in children receiving pamidronate and have been interpreted as signs of toxicity. In this study, we analyzed osteoclast parameters in paired iliac bone specimens before and after 2-4 yr of cyclical intravenous pamidronate therapy in 44 pediatric OI patients (age range: 1.4-17.5 yr; 21 girls). During pamidronate treatment, average osteoclast diameter and the mean number of nuclei present per osteoclast increased by 18% (p = 0.02) and 43% (p < 0.001), respectively. The number of samples containing large osteoclasts (LOcs, diameter > 50 mum) increased from 6 (14%) before treatment to 23 (52%) after pamidronate therapy (p < 0.001 by chi(2) test). Post-treatment samples containing LOcs had a greater core width (p = 0.04) and a higher cancellous bone volume per tissue volume (p < 0.001), because cancellous bone volume had increased more during pamidronate treatment (p < 0.001). Osteoclast number and surface were higher in samples with LOcs, but there was no difference in cancellous bone formation parameters. The presence of LOcs was independent of OI type, type of collagen type I mutation, lumbar spine BMD, and other clinical or biochemical measures. In conclusion, this study did not show any indication that LOcs during pamidronate treatment are indicative of toxicity. It seems more likely that the observed abnormalities in osteoclast morphology are part of the mechanism of action of this drug.
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 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".