Effects of parenteral iron on inflammation and the myocardium in hemodialysis patients
Bibliographic record
Abstract
Inflammation is a nontraditional cardiovascular risk factor in hemodialysis patients. This pilot study tested the hypothesis that intravenous iron adds to this inflammation by increasing oxidative stress. Secondly, we described the association between iron indices and myocardial structure and function. Thirteen hemodialysis patients from a teaching hospital were recruited for this descriptive study and divided into 3 groups according to their iron profile (high, low, and intermediate). Oxidative stress was determined in vivo by mass spectroscopy with measurement of malondialdehyde (MDA), hexanal, and nonenal. Cardiac magnetic resonance imaging and 2-dimensional echocardiography were used to study any structural or functional changes, respectively. A strong correlation was found between iron indices and oxidative stress (MDA and ferritin r=0.95; p<0.001; MDA and transferrin saturation r=0.80, p<0.01). Magnetic resonance imaging measurements showed a weak correlation with iron indices while no correlation was found between iron indices and echocardiographic measurements. Iron indices are positively correlated with functional oxidative stress. Larger studies are needed to determine the association between inflammation and structural or functional dysfunction of the myocardium.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".