Abstract 615: Progression Of Atherosclerosis Plaque Area In Postmenopausal Women During Controlled Traditional Risk Factors
Bibliographic record
Abstract
The onset of symptoms of coronary heart disease in women are displaced a decade compared with men after menopause, but currently there are reports in which 1 in 4 women is less than 59 years, suggesting that in the pre-menopausal period there is marked progression of vascular disease. Therefore we evaluated the presence of atherosclerotic disease in primary care menopausal women. Additionally, we hypothesized that the strict control of the traditional risk factors is not enough to prevent vascular disease progression. Methods, post-menopausal women without cardiovascular events from Argentina were evaluated. Framingham risk score with body mass index (FRSbmi) and carotid ultrasound were employed for the evaluation. Carotid total plaque area (TPA) by ultrasound was determined as previously described by Spence et al (Stroke 2002;33;2916-2922). Additionally, LDL cholesterol (LDL), triglycerides (Trig) and HbA1c were measured. All determinations were done on day 1 and after 8 months of treatment. Only patients who achieved all the therapeutic goals (blood pressure (BP)<130/80mmHg, LDL<100mg/dl, Trig<140mg/dl, HbA1c5mm2, stable group, TPA changed 5mm2. In the presence of controlled of traditional risk factors, 50% of the population continued to progressive atherosclerotic disease (Table). Conclusion, these results indicate that in the presence of controlled traditional risk factors, atherosclerosis may progress in some patients, including in menopausal women. Additional promoters of atherosclerosis should be evaluated in these progressive patients or possibly more intensive treatment should be used in such patients.
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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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".