MP357VASCULAR CALCIFICATION OF THE PUDENDAL ARTERY IS A SENTINEL FOR ELEVATED PULSE WAVE VELOCITY
Bibliographic record
Abstract
Introduction and Aims: Vascular calcification (VC) is the mineralization of the vasculature via deposition of calcium-phosphate crystals. VC is a common manifestation of cardiovascular disease in patients with chronic kidney disease (CKD), which increases arterial stiffness and negatively affects cardiovascular hemodynamics. VC of the aorta, necessarily including the thoracic segment, results in elevated pulse wave velocity (PWV), an indicator of decreased arterial compliance and a predictor of mortality. Recent research indicates that peripheral vasculature, such as the pudendal artery, has a distinct susceptibility to VC. The objective of this study was to evaluate whether mineral accumulation in the pudendal artery in an adenine-induced rat model of CKD is a sentinel for calcification of the thoracic aorta and resulting alterations in PWV. Methods: Male Sprague Dawley rats were fed standard rat chow (n=61) or placed on an established 7-week high protein 0.25% adenine diet (n=145) to induce CKD and produce a vascular calcification phenotype. At 7 weeks, the carotid to iliac bifurcation PWV was measured under general aesthetic (isoflurane 2%) and normalized to mean arterial pressure. Calcium and phosphate content was analyzed via colorimetric assays in various central and peripheral arteries and contractility of the pudendal artery was assessed via potassium-induced maximum contraction.
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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) | 0.000 | 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 | 0.001 |
| 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".