A retrospective study of thyroid hormone in Pediatrics: relationships with growth hormone correlation with effects of diabetes in Riyadh, Saudi Arabia
Bibliographic record
Abstract
Background: Inadequate Thyroid Hormone at birth in newborns is known as Congenital Hypothyroidism (CH) and it has a critical role in their growth and brain development. As a result, untreated CH and abnormal GH/IGF1 levels can lead to failure to thrive, osteoporosis, and Diabetic Retinopathies, among other problems. This retrospective study examines the chances of developing growthhormone disruption and Diabetes Mellitus in patients diagnosed with Congenital Hypothyroidism at the Security Forces Hospital in Riyadh, Saudi Arabia. Methodology: A retrospective chart review of growth hormone deficient (GHD) patients was done at the security force hospital in Riyadh, Saudi Arabia. The data was collected from the medical records of the patients. The study included all patients with growth hormone deficiency (GHD) who had complete clinical, diagnostic and treatment data. Result: At the beginning of the research, 287 growth hormone-deficient (GHD) children ranging in age from 1 to 15 years old were evaluated for diabetes. A total of 151 (52.6%) of the 287 patients got levothyroxine therapy, while the remaining 136 (47.4%) did not (control group). Because the p-value <0.05 (t(149) = 1.165, p = 0.246), the mean difference in blood sugar level changes is not statistically significant (t(149) = 1.165, p = 0.246). Conclusion: We found that levothyroxine therapy has no discernible effect on blood sugar level fluctuations in males and females. Key words: Growth hormone deficiency, Kingdom of Saudi Arabia, Diabetes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".