Measurement of Carotid Plaque and Effect of Vitamin Therapy for Total Homocysteine
Bibliographic record
Abstract
BACKGROUND: Many new therapies are being developed that are anti-atherosclerotic, but which do not change clinical parameters such as blood pressure or cholesterol. In order to measure the effects of these therapies it will be necessary to measure atherosclerosis. Elevated levels of plasma total homocysteine (tHcy) are associated with increased risk of stroke and myocardial infarction. Measurement of the effect of vitamin therapy on atherosclerosis has therefore been used as an example of this approach. METHODS: 2-Dimensional measurement of carotid plaque cross-sectional area has been used to measure effects of vitamin therapy in patients whose plaque is progressing despite intensive treatment of traditional risk factors. In clinic patients, addition of vitamin therapy halted progression of atherosclerosis, in samples of 50 patients over 2.5 years. However, in patients randomized to high-dose vs. low-dose vitamins in the Vitamin Intervention for Stroke Prevention trial, no difference in plaque progression was seen between high-dose and low-dose vitamin therapy. New methods have been developed for the measurement of 3-dimensional plaque volume, and for the measurement of plaque surface roughness. RESULTS: The accuracy and reliability of the measurement of plaque volume is 95%. This will permit measurement of effects of new anti-atherosclerotic therapies with much smaller sample sizes, in a much shorter time, than previously available methods such as intima-media thickness. CONCLUSION: Measurement of atherosclerotic plaque volume and roughness will greatly enhance the study of new anti-atherosclerotic therapies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".