A Case Demonstrating the Cardio-Vascular Interaction by a New Cardio-Ankle Vascular Index During the Treatment of Concentric Hypertrophy
Bibliographic record
Abstract
A 42-year-old hypertensive woman came to our hospital suffering from shortness of breath. Her left ventricular mass index (LVMI) was increased, and a new arterial stiffness index, cardio-ankle vascular index (CAVI), was also elevated. By treating hypertension (HT), diabetes mellitus (DM) and obstructive sleep apnea (OSA), her left ventricular concentric hypertrophy was improved, accompanying with a decrease in CAVI. These observations suggested that arterial stiffness monitored with CAVI might be involved in cardiac hypertrophy. This cardio-vascular interaction could be demonstrated at the first time by monitoring CAVI, which is not affected by blood pressure (BP) at measuring time.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".