Cardiovascular disease in South Asian Canadians: using risk factors to target primary and secondary prevention
Bibliographic record
Abstract
Cardiovascular disease incidence and risk profiles vary substantially across ethnicities within Canada, with South Asians carrying a disproportionately high burden of disease. South Asians exhibit high incidences of modifiable risk factors that predispose them to cardiovascular disease: dyslipidemia, hypertension, diabetes, and physical inactivity. As well as a genetic predisposition through elevated lipoprotein(a) levels. Dietary and physical activity prescriptions must consider South Asian culture and barriers they face. These include culturally tailored dietary guidelines and women-only fitness centres. Lipoprotein(a), an atherogenic molecule, is genetically determined and elevated in South Asians but may be modified with antisense oligonucleotide therapy. This therapy warrants consideration as part of the treatment algorithms for South Asians with elevated lipoprotein(a) levels. Introducing these practices into primary and secondary prevention guidelines may reduce the cardiovascular disease burden seen in South Asians.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".