Impact of Growth Hormone Supplementation on Adult Height in Turner Syndrome: Results of the Canadian Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: A randomized, controlled trial of GH supplementation to adult height in girls with short stature due to Turner syndrome was conducted in Canada. We report results in subjects who completed the protocol and subjects who participated in follow-up. METHODS: One hundred fifty-four girls with Turner syndrome, aged 7-13 yr, were randomly assigned to one of two groups: 1) GH by sc injection six times per week (0.30 mg/kg.wk), and 2) control (C), no GH treatment. Both cohorts received standardized sex steroid replacement starting at a chronological age of 13 yr. Subjects were followed until protocol completion, defined as height velocity less than 2 cm/yr and bone age 14 yr or greater. A subsequent protocol addendum requested follow-up safety and efficacy assessment in all patients at least 1 yr after the last core protocol visit. RESULTS: One hundred four patients completed the study (61 GH, 43 C), and 50 withdrew (15 GH, 35 C). At protocol completion, mean heights were 147.5 +/- 6.1 (GH) and 141.0 +/- 5.4 cm (C), respectively (P < 0.001). Of those who completed the protocol, 59 (40 GH, 19 C) had height data at least 1 yr after protocol completion; in that group, mean heights were 149.0 +/- 6.4 (GH) and 142.2 +/- 6.6 cm (C), respectively (P < 0.001). At protocol completion and follow-up, the mean height gain due to GH, estimated by analysis of covariance, was +7.2 cm (confidence interval 6.0, 8.4) and +7.3 cm (confidence interval 5.4, 9.2), respectively (both P < 0.001). CONCLUSIONS: This is the first evidence from a randomized, controlled trial to adult height that GH supplementation with induction of puberty at a near physiological age increases the adult height of girls with Turner syndrome.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".