Diagnosis, Treatment and Outcome of Congenital Hypothyroidism
Bibliographic record
Abstract
Screening for a disease begins a process that should lead to confirmation of the diagnosis, establishment of the etiology, optimal treatment and documentation of outcome. In newborns referred for an elevated thyroid-stimulating hormone (TSH) level on the screening specimen, a detailed family and personal history should be obtained, and a careful clinical examination should be performed. Hypothyroidism should be confirmed by measuring serum TSH and thyroxine (T4) and the underlying etiology established by sodium pertechnetate scintigraphy. Treatment should be started promptly with an adequate dose of levothyroxine. Clinical and biochemical monitoring should be frequent during the first 3 years of life, when the brain can suffer irreversible damage from hypothyroidism. Except in patients with thyroid ectopy or with true athyreosis, permanence of hypothyroidism should be confirmed after 3 years of age by withholding treatment for at least 4 weeks and measuring serum TSH and T4 off therapy. Growth, psychomotor development and school progression should be documented, especially in children from socially disadvantaged families. Transition to adult care is particularly important for females, who should receive counseling about increased levothyroxine needs during future pregnancies. Cognitive outcome has improved dramatically with screening for overt congenital hypothyroidism, but the benefits from treatment of mild isolated hyperthyrotropinemia remain unproven.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".