Effect of eprosartan-based antihypertensive therapy on coronary heart disease risk assessed by Framingham methodology in Canadian patients: results of the POWER survey
Bibliographic record
Abstract
PURPOSE/INTRODUCTION: The Canadian Hypertension Education Program (CHEP) has identified blood pressure (BP) control as a key target for an overall reduction in cardiovascular disease risk. The POWER survey (Physicians' Observational Work on Patient Education According to their Vascular Risk) used Framingham methodology to investigate the impact of an angiotensin-receptor-blocker-based regimen on arterial BP and total coronary heart disease (CHD) risk in a subset of patients recruited in Canada. METHODS: 309 Canadian practices screened for patients with either newly diagnosed or uncontrolled mild/moderate hypertension (sitting systolic blood pressure [SBP] >140 mmHg with diastolic blood pressure [DBP] <110 mmHg). Treatment comprised eprosartan 600 mg/day with add-on antihypertensive therapy after 1 month if required. The primary efficacy variable was change in SBP at 6 months; the secondary variable was the absolute change in the Framingham 10-year CHD risk score. RESULTS: 1,385 patients were identified, of whom 1,114 were included in the intention-to-treat (ITT) cohort. Thirty-eight point four percent of ITT patients were managed with monotherapy at 6 months, versus 35.2% and 13.7% with two-drug or multiple-drug therapy, respectively. SBP in the ITT cohort declined 22.4 (standard deviation [SD] 14.8) mmHg and DBP declined 10.5 (SD 10.3) mmHg during that time. The absolute mean Framingham score declined 2.1 (SD 3.1) points with significant age and sex variation (P<0.001) and differences between the various Framingham methods used. DISCUSSION/CONCLUSION: Primary care physicians were able to use a strategy of BP lowering and CHD risk assessment to achieve significant reductions in BP and Framingham-assessed CHD risk. The effect size estimate of the different Framingham methods varied noticeably; reasons for those differences warrant further investigation.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".