Effects of Short-Term Supplementation with Ascorbate, Folate, and Vitamins B<sub>6</sub> and B<sub>12</sub> on Inflammatory Factors and Estrogen Levels in Obese Postmenopausal Women
Bibliographic record
Abstract
Little is known about the effects of commonly used vitamins on serum inflammatory markers and the hormonal balance in obese postmenopausal women. We studied the effects of an 8-week open-label supplementation with vitamins C (500 mg), B6 (25 mg), B12 (1 mg), and folate (5 mg) on C-reactive protein, interleukin-6, and estradiol levels in 20 obese (body mass index > or = 30) postmenopausal women. Outcomes were assessed in a blinded fashion. Folate and vitamin B12 levels rose significantly, suggesting that the supplement was well absorbed and that participants adhered to the protocol. Weight, blood pressure, and serum lipids remained stable. C-reactive protein, interleukin-6, and leptin levels remained unchanged. Estradiol levels rose from a median of 22.0 pg/mL (IQR = 15.9-25.8) at baseline to a median of 27.8 pg/mL (IQR = 23.1-33.9) at follow-up (p = 0.003). Increments in serum estradiol caused by vitamin supplementation in postmenopausal women have not been previously described and probably merit further 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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".