Effect of Hyperthyroidism on Insulin-like Growth Factor-I (IGF-I) and IGF-Binding Proteins in Adolescent Children
Bibliographic record
Abstract
A study was performed on adolescent hyperthyroid patients to determine the effects of hyperthyroidism on insulin-like growth factor (IGF)-I and its binding proteins. Serum concentrations of immunoreactive total and free IGF-I, and IGF binding protein (IGFBP)-2 and IGFBP-3 were determined before and after correction of hyperthyroidism in eight patients with Grave's disease and compared to control patients matched for age, sex and pubertal stage. The concentration of serum total IGF-I was not significantly different in the hyperthyroid state and euthyroid state, and did not differ significantly from euthyroid controls. IGFBP-2 levels were elevated three-fold in hyperthyroid patients at the time of diagnosis of hyperthyroidism compared to control subjects, and fell significantly during treatment. There was also a significant positive correlation between serum IGFBP-2 concentrations and thyroxine (T4) concentrations in all subjects. Serum IGFBP-3 concentrations were also elevated in hyperthyroid subjects and normalized with correction of the hyperthyroidism. There was also a positive correlation between serum T4 and IGFBP-3 concentrations in all subjects. Despite the hyperthyroid-induced elevations in IGFBP-2 and -3, no significant difference in the serum concentration of free IGF-I before or after correction of the hyperthyroid condition was observed. We conclude that hyperthyroidism does not cause alterations in the serum concentrations of either free or total IGF-I. However, both serum IGFBP-2 and IGFBP-3 concentrations were elevated during hyperthyroidism and correlated with serum T4 levels. These abnormalities reversed with normalization of thyroid function.
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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".