Dynamics of Body Composition and Bone in Patients with Juvenile Idiopathic Arthritis Treated with Growth Hormone
Bibliographic record
Abstract
INTRODUCTION: GH has a positive impact on growth, bone, and muscle development. The objectives of this study were to demonstrate the effects of GH treatment on regional body composition and bone geometry at final height in patients with juvenile idiopathic arthritis (JIA). PATIENTS AND METHODS: In this longitudinal study, parameters of bone mineral density and geometry as well as muscle and fat cross-sectional area (CSA) in the nondominant forearm were recorded using peripheral quantitative computed tomography at yearly intervals until final height in 12 patients (seven females) receiving GH treatment. Data at final height were compared with 13 patients (nine females) with JIA not treated with GH. RESULTS: Patients were treated with GH for a mean of 5.35 +/- 0.7 yr. Correcting for height, total bone CSA (+0.89 +/- 0.5 sd) and muscle CSA (+1.14 +/- 0.6 sd) increased significantly and normalized at final height. Compared with JIA patients without GH at final height, there was a significantly higher muscle CSA and a lower fat CSA in GH-treated patients. Additionally, in relation to total bone CSA, there was significantly more cortical and less marrow CSA in boys with GH treatment. CONCLUSION: During GH treatment, there was a significant increase and normalization of total bone and muscle CSA at final height. In accordance with an anabolic effect of GH, fat mass stabilized at the lower limit of healthy children. At final height, cortical and marrow CSA, relative to total bone CSA, were normalized in GH-treated 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".