Persistent lipid abnormalities in patients treated with statins: Portuguese results of the Dyslipidemia International Study (DYSIS).
Bibliographic record
Abstract
INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of death and one of the most important causes of morbidity in Western societies. Dyslipidemia is an important risk factor for CVD and effective treatment significantly reduces cardiovascular risk. OBJECTIVE: To evaluate the prevalence and type of persistent lipid abnormalities in patients treated with statins. METHODS: The Dyslipidemia International Study (DYSIS) was a multicenter, epidemiologic cross-sectional study conducted in 12 European countries and Canada. Patients > or = 45 years old, treated with statins for at least three months during the enrolment period from April 2008 to February 2009, were sequentially enrolled. This study presents the results for the Portuguese population. RESULTS: In Portugal, 916 patients were recruited in 125 centers; mean age was 64.1 +/- 9.9 years and 47.1% were women. Most patients (66.7%) presented high cardiovascular risk. The most frequently used statin was simvastatin (55.9%; dose 21.3 +/- 6.2 mg/day) and only 15.3% of the patients were simultaneously taking other lipid-lowering agents. In most patients, LDL (62.9%; n = 883) and total cholesterol (68%; n = 883) were not at the target levels recommended by the European Society of Cardiology (ESC). It was also found that 22% of patients presented lower HDL values than those recommended and that 39% presented high triglyceride levels. LDL outside the target range was the most common abnormality, both when assessed separately and when combined with low HDL and high triglycerides. CONCLUSION: The number of patients with lipid abnormalities was very significant, especially for LDL, considering that all were under statin therapy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".