Bibliographic record
Abstract
Vascular calcification is highly prevalent in end-stage renal disease and independently predictive of future cardiovascular events and mortality. Calcification can occur in both the intimal and medial layers of vasculature, but medial calcification is the major form in end-stage renal disease. Medial calcification increases large elastic artery stiffness and pulse-pressure, promotes left ventricular hypertrophy, reduces perfusion of the coronary arteries, and ultimately promotes increased cardiovascular mortality via increased risk of myocardial infarction and heart failure. It results not from a passive deposition of calcium and phosphate due to increased circulating levels, but rather is an active cell-mediated process involving vascular smooth muscle cell apoptosis and vesicle release, a shift in the balance of inhibitors and promoters of vascular calcification, and vascular smooth muscle cell differentiation from a contractile to osteochondrogenic phenotype. This phenotypic shift requires phosphate, as well as the uptake of phosphate by the sodium-dependent phosphate cotransporter PiT-1, which is upregulated by proinflammatory cytokines and the uremic milieu. Further research is needed to determine if targeting these processes can ultimately reduce vascular calcification in this high cardiovascular risk population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".