Vitamin and mineral supplements and thyroid cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study was to consolidate epidemiological evidence for the association between dietary supplements of vitamins and minerals and thyroid cancer development, as well as to contribute to evidence-based dietary recommendations for thyroid cancer primary prevention. We carried out a systematic literature review specifically for dietary supplement and thyroid cancer risk. MEDLINE, EMBASE, and Dissertations and Theses were systematically searched to identify original epidemiological studies with a comparison group that investigated vitamin or mineral supplementation as an etiological factor for thyroid cancer. In total, 11 independent studies were identified and reviewed. Our qualitative summary showed conflicting results for common antioxidants including vitamins A, C, and E and β-carotene in relation to thyroid cancer. Similarly, results for dietary supplement combinations as well as other individual vitamins and minerals (vitamin B complex, vitamin D, iodine, calcium, zinc, magnesium, and iron) are largely inconsistent across studies. Overall, our review suggested that the current evidence to support any protective or hazardous effect of vitamin or mineral supplements on thyroid cancer development is inconclusive and additional studies addressing previous limitations are necessary to elucidate this possible association. In particular, reverse causality is of major concern and should be addressed by prospective studies with large and representative samples.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it