Long‐term effects of magnesium carbonate on coronary artery calcification and bone mineral density in hemodialysis patients: A pilot study
Bibliographic record
Abstract
Observational data suggest that elevated magnesium levels in dialysis patients may prevent vascular calcification and in vitro magnesium can prevent hydroxyapatite crystal growth. However, the effects of magnesium on vascular calcification and bone mineral density have not been studied prospectively. Seven chronic hemodialysis patients participated in this open label, prospective pilot study to evaluate the effects of a magnesium-based phosphate binder on coronary artery calcification (CAC) scores and vertebral bone mineral density (V-BMD) in patients with baseline CAC scores >30. Magnesium carbonate/calcium carbonate (elemental Mg: 86 mg/elemental Ca 100 mg) was administered as the principal phosphate binder for a period of 18 months and changes in CAC and V-BMD were measured at baseline, 6, 12, and 18 months. Serum magnesium levels averaged 2.2+/-0.4 mEq/L (range: 1.3-3.9 mEq/L). Phosphorus levels (4.5+/-0.6 mg/dL) were well controlled throughout the 18 months study. Electron beam computed tomography results demonstrated a small not statically significant increase in absolute CAC scores, no significant change in median percent change, and a small none significant change in V-BMD. Magnesium may have a favorable effect on CAC. The long-term effect on bone mineral density remains unclear. Larger studies are needed to confirm these findings.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".