Identifying Subpopulations Vulnerable to the Thyroid-Blocking Effects of Perchlorate and Thiocyanate
Bibliographic record
Abstract
Context: Common environmental contaminants can disrupt normal thyroid function, which plays essential but varying roles at different ages. Objective: To evaluate the relationship of perchlorate, thiocyanate, and nitrate, three sodium-iodide symporter (NIS) inhibitors, and thyroid function in different age-sex-stratified populations. Design, Setting, Participants, and Intervention: This was a cross-sectional analysis of data from the 2009 to 2012 National Health and Nutrition Examination Survey evaluating the exposure to perchlorate, thiocyanate, and nitrate in 3151 participants aged 12 to 80. Main Outcome Measure: Blood serum free thyroxine (FT4) as both a continuous and categorical variable. We also assessed blood serum thyroid stimulating hormone. Results: Controlling for serum cotinine, body mass index, total daily energy consumption, race/ethnicity, and poverty-to-income ratio, for each log unit increase in perchlorate, FT4 decreased by 0.03 ng/dL in both the general population (P = 0.004) and in all women (P = 0.005), and by 0.06 ng/dL in adolescent girls (P = 0.029), corresponding to 4% and 8% decreases relative to median FT4, respectively. For each log unit increase thiocyanate, FT4 decreased by 0.07 ng/dL in adolescent boys (P = 0.003), corresponding to a 9% decrease relative to median FT4, respectively. Conclusions: Our results indicate that adolescent boys and girls represent vulnerable subpopulations to the thyroid-blocking effects of NIS symporter inhibitors. These results suggest a valuable screening and intervention opportunity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".