The Gonadotropin-Releasing Hormone Analogue Therapy May Not Impact Final Height in Precocious Puberty of Girls With Onset of Puberty Aged 6 - 8 Years
Bibliographic record
Abstract
BACKGROUND: The effect on final height of gonadotropin-releasing hormone analogues (GnRHa) used in the treatment of precocious puberty is controversial. The aim of this study was to determine whether or not GnRHa therapy would make any contribution to final height in precocious puberty of girls with onset of pubertal characteristic development aged 6 - 8 years. METHODS: Age at start of puberty, target height standard deviation score (SDS) presentation, follow-up height SDS, body mass index (BMI) SDS, bone age and predicted adult height of 34 female subjects who had reached their final height and with pubertal findings beginning at the ages of 6 - 8 were evaluated. These subjects were divided into two groups: treatment and non-treatment groups. The treatment group was further divided into two subgroups, receiving monthly or three-monthly depot GnRHa. RESULTS: Age at onset of puberty was 7.2 ± 0.9 years. Twenty-five cases were started on GnRHa and nine were followed-up without treatment. Fourteen cases received monthly 3.75 mg depot triptorelin acetate and 11 received three-monthly 11.25 mg depot. Mean age at start of treatment in the treatment group was 9.1 ± 1.2 years and mean bone age was 9.7 ± 2.3 years. Age at presentation in the non-treatment group was 8.4 ± 1.4 years and bone age was 10.3 ± 2.1 years. Target and final height SDS were similar in all the groups (P > 0.05). No difference was determined between the treatment groups in terms of initial height SDS, bone age, length of treatment, final height SDS or BMI SDS (P > 0.05). CONCLUSIONS: GnRHa therapy did not make a positive contribution to final height in precocious puberty of girls with onset of puberty aged 6 - 8 years.
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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) | 0.001 | 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".