Geographical variations in the prevalence and management of cardiovascular risk factors in outpatients with CAD: Data from the contemporary CLARIFY registry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To determine the current prevalence and control of major cardiovascular risk factors in stable CAD outpatients worldwide. METHODS: We analysed variations in cardiovascular risk factors in stable CAD outpatients from CLARIFY, a 5-year observational longitudinal cohort study, in seven geographical zones (Western/Central Europe; Canada/South Africa/Australia/UK; Eastern Europe; Central/South America; Middle East; East Asia; and India). RESULTS: Patient presentation (N=32,954, mean age 64.2 years, 78% male) varied between zones, as did prevalence of risk factors (all p < 0.0001). Obesity ranged from 20% (East Asia) to 42% (Middle East), raised blood pressure from 28% (Central/South America and East Asia) to 48% (Eastern Europe), raised LDL cholesterol from 24% (Canada/South Africa/Australia/UK) to 65% (Eastern Europe), elevated heart rate (≥70 bpm) from 38% (Western/Central Europe) to 78% (India), diabetes from 17% (Eastern Europe) to 60% (Middle East), and smoking from 6% (Central/South America) to 19% (Eastern Europe). Aspirin and lipid-lowering drugs were widely used everywhere (≥84% and ≥88%, respectively). Rates of risk factor control varied geographically (all p < 0.0001). Rate of controlled blood pressure in hypertension varied from 47% (Eastern Europe) to 66% (Central/South America), glucose control in diabetes from 23% (India) to 51% (Western/Central Europe and East Asia), controlled LDL cholesterol and dyslipidaemia from 32% (Eastern Europe) to 75% (Canada/South Africa/Australia/UK), heart rate <70 bpm from 22% (India) to 62% (Western/Central Europe), and heart rate ≤60 bpm in angina patients from 2% (India) to 29% (Canada/South Africa/Australia/UK and Central/South America). CONCLUSION: Prevalence and control of major cardiovascular risk factors in stable CAD vary markedly worldwide. Many stable CAD outpatients are being treated suboptimally.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it