Comparison of Epidemiological Data on Congenital Hypothyroidism in Europe with Those of Other Parts in the World
Bibliographic record
Abstract
The actual worldwide incidence of congenital hypothyroidism (CH) is based on the results of screening in parts of the world where screening is mandatory, i.e. most of Europe, USA, Canada, Cuba, Australia, New Zealand and Japan. In other parts of the world, some indications are given by the results of pilot studies. In Europe, mean overall incidence (1985-1990) for the countries included in our inquiry is 1/3801--in each country for the same period: Austria 1/3,930, Belgium 1/3,750, Czechoslovakia 1/6,037, Denmark 1/3,777, Finland 1/3,969, France 1/4,132, FRG 1/3,827, Greece 1/3,314, Hungary 1/5,632, Israel 1/3,152, Italy 1/3,150, The Netherlands 1/3,723, Norway 1/3,069, Portugal 1/3,139, Spain 1/3,216, Switzerland 1/3,913, UK 1/3,398 and Turkey (pilot study 1989-1992) 1/2,943. In comparison, the figures for the USA for the whole country are similar for the mean overall incidence (1988-1990): 1/4,119. But large variations exist between the states, the reasons of which are perhaps related either to technical problems or to the ethnic background in each state. In Canada and Japan, modifications of screening procedures have led to similar figures for the last years in our possess, Canada (1986-1988) 1/3,884 and Japan (1990) 1/3,856. The figures (mean overall incidence) for Cuba (1987-1991) 1/2,325, for Australia (1985-1990) 1/1/3,331 and for New Zealand (1987-1990) 1/4,496 are quite comparable. So in these countries where the screening is established, no great variations are noted as in certain parts of the world with pilot studies: Argentine (Buenos Aires; 1985-1990) 1/4,407, Chile (1991-1992) 1/2,514, Brazil (Porto Alegre; 1987-1991) 1/4,429.(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".