A Prospective Study of Iodine Status, Thyroid Function, and Prostate Cancer Risk: Follow-up of the First National Health and Nutrition Examination Survey
Bibliographic record
Abstract
Few studies have investigated the association between iodine status, thyroid disease, and cancer risk despite evidence that thyroid function impacts many organs, including the prostate. We investigated iodine status and prostate cancer risk prospectively using data from the NHANES I Epidemiologic Follow-up Study. Participants were stratified into tertiles according to the urinary iodine/creatinine ratio, as a marker of iodine exposure. As iodine is an integral constituent of thyroid hormones, we also examined the relationship between thyroid disease and prostate cancer risk. Relative to the group with low urinary iodine, the age-adjusted hazard ratio was higher (although marginally insignificant) in the moderate group, hazard ratio 1.33 (95% confidence interval 1.00-1.78), and significantly lower in the high group, 0.71 (0.51-0.99). Thyroid disease was associated with an increased prostate cancer risk, 2.34 (1.24-4.43). Similarly, > 10 yr since thyroid disease diagnosis was associated with an elevated risk, 3.38 (1.66-6.87). After adjusting for other confounding factors, only a history of thyroid disease, 2.16 (1.13-4.14), and > 10 yr since diagnosis of thyroid disease, 3.17 (1.54-6.51) remained significant. Although the role of dietary iodine remains speculative, a role for thyroid disease and/or factors contributing to thyroid disease as a risk factor for prostate carcinogenesis warrants additional investigation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".