Antioxidant vitamins supplementation and mortality: A randomized trial in head and neck cancer patients
Bibliographic record
Abstract
There has been concern that long-term supplementation with high-dose antioxidant vitamins, especially vitamin E (alpha-tocopherol), may increase all-cause mortality. We conducted a randomized controlled trial with alpha-tocopherol (400 IU/day) and beta-carotene (30 mg/day) supplements among 540 head and neck cancer patients treated by radiation therapy. Supplementation with beta-carotene was discontinued during the trial. The supplements were given during radiation therapy and for 3 additional years. During the follow-up (median 6.5 years), 179 deaths were recorded. All death certificates were obtained. All-cause and cause-specific mortality rates were compared between the 2 arms of the trial by Cox regression. All-cause mortality was significantly increased in the supplement arm: hazard ratio: 1.38, 95% confidence interval 1.03-1.85. Cause-specific mortality rates tended to be higher in the supplement arm than in the placebo arm. Our results concur with previous reports to suggest that high-dose vitamin E could be harmful.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".