A U-shaped association between blood selenium levels and prostate cancer: findings of a case-control study among Nigerian men
Bibliographic record
Abstract
The ability of selenium to both prevent and induce cancer at varying biological concentrations has been reported in previous studies. We studied the associations between selenium exposure and prostate diseases such as prostate cancer (PCa) and benign prostatic hyperplasia (BPH), and estimated the optimal range of selenium concentrations that may be needed to prevent these diseases among Nigerian men. Blood and urine samples from men with histologically diagnosed PCa (n = 90), BPH (n = 97), and controls (n = 98) were analyzed for trace elements, including selenium. The associations between selenium concentrations and prostate diseases were estimated using logistic regression and restricted cubic splines. Men in the lowest and highest blood selenium tertiles had increased odds of PCa {AOR (95% CI): 2.90 (1.13, 7.46) and 4.42 (1.68, 11.59), respectively}. Compared with the first tertile of blood selenium, men in the highest tertile had significantly higher odds of BPH (AOR: 3.92; 95% CI: 1.68, 9.11). We found that a putative range of blood selenium concentration associated with minimum odds of PCa may lie between 125.55 and 134.86 µg/L. No significant association was observed between urinary selenium levels and PCa. The narrow-ranged U-type relationship between blood selenium concentration and PCa needs to be confirmed in larger longitudinal cohort studies.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".