Updated National and International Hypertension Guidelines: A Review of Current Recommendations
Bibliographic record
Abstract
Despite the availability of effective pharmacological treatments to aid the control of blood pressure, the global rate of uncontrolled blood pressure remains high. As such, further measures are required to improve blood pressure control. Recently, several national and international guidelines for the management of hypertension have been published. These aim to provide easily accessible information for healthcare professionals and patients to aid the diagnosis and treatment of hypertension. In this review, we have compared new and current guidelines from the American and International Societies of Hypertension; the American Heart Association, American College of Cardiology and the US Center for Disease Control and Prevention; the panel appointed to the Eighth Joint National Committee; the European Societies of Hypertension and Cardiology; the French Society of Hypertension; the Canadian Hypertension Education Program; the National Institute for Health and Clinical Excellence (UK); the Taiwan Society of Cardiology and the Chinese Hypertension League. We have identified consensus opinion regarding best practises for the management of hypertension and have highlighted any discrepancies between the recommendations. In general there is good agreement between the guidelines, however, in some areas, such as target blood pressure ranges for the elderly, further trials are required to provide sufficient high-quality evidence to form the basis of recommendations.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.014 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".