Hypertension and Stroke: 2005 Canadian Hypertension Educational Program Recommendations
Bibliographic record
Abstract
BACKGROUND: Hypertension is the most important modifiable cause of stroke. The Canadian Hypertension Educational Program, representing Canada's experts in the field of hypertension, publishes annual evidence-based recommendations on the diagnosis and treatment of hypertension. METHODS: We present the 2005 Canadian Hypertension Educational Program guidelines regarding the management of hypertension in patients with stroke. RESULTS: The diagnosis of hypertension should be expedited and can be made as early as the second visit in patients with stroke. Unless contraindicated, a combination of angiotensin-converting-enzyme (ACE) inhibitors and diuretics is the preferred therapy in these patients. A target blood pressure below 140/90 mmHg for non-diabetic patients, below 130 mmHg/80 mmHg for diabetic patients and below 125 mmHg/75 mmHg for those with renal disease and proteinuria (> 1 gram per day) should be reached. Lifestyle interventions may be as effective as medication and should be used in conjunction with medical management. Waist circumference should be less than 102 cm for men and 88 cm for women. There remains uncertainty about the management of high blood pressure in the context of acute stroke. CONCLUSIONS: A combination of ACE-inhibitors and diuretics is recommended in hypertensive stroke patients. Blood pressure should be maintained below 140/90 mmHg.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".