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Record W2037962057 · doi:10.1159/000242547

Regional Variations of Iodine Nutrition and Thyroid Function during the Neonatal Period in Europe

2009· article· en· W2037962057 on OpenAlexaboutno aff
François Delange, P. Heidemann, P Bourdoux, Anders Larsson, Riccardo Vigneri, M Klett, Christian Beckers, P. Stubbe

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsIodine deficiencyIodineCongenital hypothyroidismMedicineThyroid functionGoiterThyroidPediatricsEndocrinologyNewborn screeningPhysiologyInternal medicineChemistry

Abstract

fetched live from OpenAlex

In order to evaluate further the possibility that transient hypothyroidism and hyperthyrotropinemia in newborn infants could result from a state of relative iodine deficiency, the urinary concentration of iodine, used as an index of the dietary intake of iodine was determined in casual urine samples collected in 1,076 full-term infants aged 3-6 days in 16 cities in 10 different European countries and in Toronto, Canada. In addition, the results obtained by programs of systematic neonatal screening for congenital hypothyroidism in the same areas were compared. There were marked regional differences in iodine nutrition during the neonatal period in Europe (median urinary iodine: 16.2 micrograms/dl in Rotterdam, the Netherlands, and 1.1 micrograms/dl in Freiburg, FRG. A low iodine supply in newborn populations was accompanied by, and probably explained, an elevated frequency of transient disorders of thyroid function in young infants. Iodine prophylaxis is urgently needed in some European countries not only for the prevention of goiter, but mostly for the prevention of impairment of thyroid function during the critical period of brain development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.235
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations132
Published2009
Admission routes1
Has abstractyes

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