Statin use in Canadians: trends, determinants and persistence
Bibliographic record
Abstract
Background: Regular statin use is an important tool in chronic disease management, lowering cholesterol levels and reducing risk of cardiovascular disease (CVD). The objectives of this study are to describe statin use in Canada by comorbidity and lifestyle risk factors, and determine persistence in statin use. Methods: The longitudinal National Population Health Survey, 1994-2002, is a random sample of the 1994 Canadian population and five interviews were conducted at two-year intervals. A total of 8,198 respondents, aged 20 in 1994, completed all five interviews. Information collected included demographic variables, medication use, CVD lifestyle risk factors, CVD, diabetes and hypertension. Results: Age-adjusted rates of statin use increased from 1.6 % to 7.8 % over the period 1994-2002. Statin use was higher with increasing age, diabetes, BMI, physician visits, and insurance for prescription medication. Although persons with CVD were more likely to take statins than those without, by 2002 still only 32.7 % of heart patients were taking statins. Statin use did not increase linearly with increasing numbers of CVD risk factors or
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".