Height and weight development following cyclical intravenous pamidronate in children and adolescents with chronic recurrent multifocal osteomyelitis (CRMO)
Bibliographic record
Abstract
Treatment with cyclical intravenous pamidronate (IVP) improves clinical course in children with chronic recurrent multifocal osteomyelitis (CRMO), but theoretically might affect longitudinal growth. In this study we analyzed growth during IVP treatment in ten CRMO patients. 10 patients (5 M, 5 F) were enrolled, with mean (range) age 11.4 (4.5–16.3) years at IVP treatment. All patients received a 3-day infusion of IVP (0.5 mg/kg/day for the first dose; 1 mg/kg/day subsequently), followed by 1-day infusion monthly or 3-day infusion every 3 months until resolution of MRI documented bone inflammation. Weight and height were measured prior to first IVP, at 1-year, and at final follow-up, and results were transformed into age- and gender-matched z-scores. Hotelling's test on the bivariate height and weight differences between 2 time points was performed. Patients received a mean (range) 6.23 (2.5–11.5) mg/kg/year of IVP to achieve resolution of MRI documented inflammation. Follow-up was a mean (range) 27.4 (16–46) months. At baseline, 4/10 children had low baseline height z-scores (z < -1.0), compared to 1/10 at final follow-up. At one year, height and weight z-scores jointly had increased significantly (p = 0.014). Univariate point estimates and 95% confidence intervals (95% CI) for average differences post-pre were height = 0.192, (95% CI-0.16, 0.54), and weight = 0.574, (95% CI 0.10, 1.04). At 1-year following first pamidronate treatment, age-and gender-specific height and weight z-scores remained similar or increased, suggesting that 1. Pamidronate in pediatric CRMO does not have a detrimental effect on longitudinal growth "Catch-up growth" can occur in this selected population.
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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".