Increasing Prevalence of Congenital Hypothyroidism in children with Down Syndrome who have a family history of Thyroid disease
Bibliographic record
Abstract
Introduction: The family history of thyroid disease (FHTD), which is either hyper or hypothyroidism, and its effect and the association with other diseases such as autoimmune disease or genetic diseases such as Down syndrome are not well understood, especially in countries in the middle east such as Iraq, which makes studies of this type get some interest recently and the correlation should be understood. Objective: To find out if there is an association between down syndrome and a family history of thyroid disorder. Methods: 451 New born babies have been enrolled in the studies. However, 4 of them has been excluded due to inadequate information; the result is about 396 collected in two hospital public (free serves) and privet hospital here in Iraq. The thyroid test and its family history information were collected in 67 new borns with down syndrome with a family history of thyroid dysfunction and the second group of 329 new borns with down syndrome without a family history of thyroid dysfunction, using the SPSS program to study the correlation confidence interval, and other logical analysis were performed in studies. Results: about sixteen neonates suffered from thyroid percent of about 4.1%, 9-Newborn's with down syndrome in this study had congenital hypothyroidism (4.1%). However, our research shows a correlation between a patient suffering from thyroid dysfunction with Down syndrome (Adjusted odds ratios= 8.3, 95% CI 2.0-34.3), moreover, the result slightly changes in males (Adjusted odds ratios= 9.0, 95% CI: 1.6-49.6). However, all the neonates with down syndrome had a low incidence of thyroid dysfunction if they have no family history of thyroid dysfunction (Adjusted odds ratios= 0.4, 95% CI: 0.1-0.8). In conclusion, we confirm the association between congenital hypothyroidism and FHTD in babies with DS. Babies with DS with FHTD have an eight-time higher risk of congenital hypothyroidism, particularly those of the male sex.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".