SO028CALCITRIOL SUPPLEMENTATION INCREASES VON WILLEBRAND FACTOR LEVELS, FIBROBLAST GROWTH FACTOR-23 LEVELS, AND VASCULAR CALCIFICATION SEVERITY IN EXPERIMENTAL CHRONIC KIDNEY DISEASE
Bibliographic record
Abstract
Introduction and Aims: The treatment of hyperparathyroidism with calcitriol in CKD may develop cardiovascular disease induced by endothelial dysfunction and vascular calcification. This study examines the effects of the dosage and frequency of administration of calcitriol in an animal model of CKD. Methods: Male Sprague Dawley rats were fed a CKD diet (1% phosphate, 0.25% adenine) for 7 weeks. At week 3, animals began calcitriol treatment: CKD (0 calcitriol, n=8), 20CAL, 80CAL, (20 or 80 ng/kg/ calcitriol, once/day), 5CAL-QID, 20CAL-QID (5 or 20 ng/kg 4/day calcitriol, n=8) or CON (healthy control, N=6). CKD severity (serum creatinine), calcification (tissue levels of calcium and phosphate), and plasma levels of intact parathyroid hormone (PTH), C-term fibroblast growth factor 23 (FGF-23), and von Willebrand factor (VWF, a marker of endothelial dysfunction) were measured. Statistics are reported as mean ± st. dev. for normal data or median (range), one way ANOVA with Tukey post-test, and Pearson correlations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".