Update from the GHMonitorSM observational registry in children treated with recombinant human growth hormone (Saizen).
Bibliographic record
Abstract
Since 2003, the GH MonitorSM, an observational registry, has collected data on pediatric subjects treated with Saizen (recombinant human growth hormone (r-hGH)) in the United States and Canada. This article provides an update on the demographic characteristics of subjects enrolled in the GHMonitorSM Registry. As of August 2007, 1733 subjects were enrolled (68.9% male). The most common primary diagnosis at screening was idiopathic growth hormone deficiency (56.5% of subjects).Of those subjects with available data, mean height standard deviation (SD) score was -2.1+/-1.0, mean weight SD score was -1.4+/-1.5, and mean body mass index SD score was -0.1+/-1.3. Among subjects in whom the presence or absence of other pituitary hormone deficiencies was recorded, 16.1% had multiple pituitary hormone deficiencies. Most patients reported high compliance with therapy (92.6% missed 0-3 doses per month); compliance was similar for all delivery devices (needle/syringe, cool.clickTM or one.clickTM) used. Two serious adverse events related to Saizen (hospitalization for placement of right frontal ventriculostomy and right frontal craniotomy for transcallosal resection of a large recurrent craniopharyngioma and left slipped capitofemoral epiphysis that required pinning of the right hip) were reported in the period from August 2006 to August 2007. This update of the GHMonitorSM Registry continues to provide insight into the characteristics of children treated with this agent and continued evidence of the efficacy and safety of Saizen in children.
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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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".