Effects of flaxseed oil on blood hepcidin and hematologic factors in hemodialysis patients
Bibliographic record
Abstract
INTRODUCTION: In hemodialysis (HD) patients, one of the common complications is renal anemia. Therefore, the present study was designed to investigate the effects of flaxseed oil consumption on blood hepcidin and hematologic factors in HD patients. METHODS: In this randomized, double-blind, clinical trial, 38 HD patients were randomly assigned to either the flaxseed oil or the control group. The patients in the flaxseed oil group received 6 g/d flaxseed oil for 8 wk, whereas the control group received 6 g/d medium chain triglycerides (MCT) oil. At baseline and the end of week 8, serum hepcidin, and blood hemoglobin, hematocrit, red blood cells (RBCs), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC) were measured after a 12- to 14-h fast. FINDINGS: Flaxseed oil consumption significantly reduced serum hepcidin concentration up to 25% during 8 weeks, and the reduction was significant in comparison with the MCT oil group. In addition, the number of RBCs, blood hemoglobin, hematocrit, MCH and MCHC increased significantly in the flaxseed oil group up to 6%, 10%, 6%, 5%, and 2%, respectively, and these elevations were significant in comparison with the MCT oil group. There was no significant difference between the two groups in mean changes of MCV. DISCUSSION: This study indicates that daily consumption of 6 g flaxseed oil reduces serum hepcidin and improves hematologic factors in HD patients.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".