Abstract 16: Effect of Long-Term Selenium Supplementation on Mortality: Results From a Multiple-Dose Randomised Controlled Trial
Bibliographic record
Abstract
Background: Selenium (Se) is an essential trace element that is incorporated into selenoproteins with a wide range of health effects. The concentration of selenoproteins plateaus at plasma Se concentrations ~125 μg/L, however, and it is unclear whether Se supplementation is beneficial above this plateau. Methods: In a double-blind, randomized, controlled trial of Se supplementation and mortality in Denmark, a population of moderately-low Se status, 491 men and women, 60-74 years of age, were treated with 100, 200, or 300 μg Se/d as Se-enriched yeast or placebo-yeast. From 2008-2009, active treatment was provided for 5 years and post-treatment follow-up for 10 additional years. During 6,871 person-years of follow-up, there were 158 deaths (31 during active treatment and 127 after treatment cessation). Results: The hazard ratio (95% confidence interval [CI]) for all-cause mortality comparing 300 μg Se/d to placebo was 1.62 (0.66 to 3.96) after 5 years of treatment and 1.59 (1.02 to 2.46) over the entire follow-up. Se doses of 100 and 200 μg/d non-significantly decreased mortality during the intervention period but their effects vanished after treatment cessation. The effects on cancer and cardiovascular mortality were similar but less precise than on all-cause mortality. Conclusions: A dose of 300 μg/d of Se (as high-Se yeast) taken for five years in a country with moderately-low Se status increased all-cause mortality 10 years later. Lower doses showed a non-significant reduction in mortality which dissipated after treatment discontinuation. Total Se intake (diet plus supplements) over 300 μg/d should be avoided.
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 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 | 0.004 |
| 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 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".