Abstract 15861: Adherence to the 2012 Canadian Lipid Screening Guidelines in Primary Prevention Patients: The CANHEART Study
Bibliographic record
Abstract
Background: The 2012 Canadian Cardiovascular Society’s (CCS) lipid guidelines recommend universal lipid testing of males aged ≥40 and females ≥50 every 3 to 5 years and selective testing in high-risk patients aged Methods: We conducted an analysis of lipid testing and results in 9.4 million primary prevention patients aged 20 to 105, as of January 2008, from Ontario, Canada in the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) ‘big data’ cohort (www.canheart.ca) created through the linkage of multiple population-health databases. This cohort was followed for 5 years up to December 2012 to determine rates of lipid testing by sex and 10-year age bands. We also examined the frequency of elevated low-density lipoprotein (LDL) levels (>3.5 mmol/L or 135 mg/dL) in non-statin users and those without a history of hyperlipidemia. At LDLs above this level, consideration of statin therapy is recommended in those at intermediate cardiovascular risk in Canada. Results: Overall, 69.2% of males and 74.1% of females aged 20 to 105 with no past history of cardiovascular disease had lipid testing over the 5-year time period. Rates of testing were highest (>80%) amongst males and females 50 to 79 years, but only 75% of males aged 40 to 49 received testing (Figure). Approximately half of Canadians aged 3.5 mmol/L. The frequency of elevated LDL was greatest in males aged 40 to 49 and females aged 60 to 69, and was lowest in those aged 20 to 29 and aged 80 and over. Conclusions: High rates of lipid testing in Canadians aged 50 to 79 are in concordance with Canadian lipid guidelines. The optimal lipid testing strategy in younger adults and the very elderly remains to be determined.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".