Bibliographic record
Abstract
PURPOSE OF REVIEW: This review demonstrates the need for enhancing strategic approaches to the prevention and control of hypertension, a global health issue. RECENT FINDINGS: An epidemic of chronic noncommunicable diseases is threatening national healthcare systems' sustainability and the economy of many countries. Increased blood pressure is the leading risk for premature death and disability and accounts for approximately 10% of healthcare spending. Four of nine recent United Nations' targets for reducing chronic noncommunicable diseases relate directly or indirectly to hypertension. The expanded chronic care model provides a comprehensive framework for developing hypertension prevention and control strategies. The model addresses the roles of healthy public policy, healthy living environments, healthy communities, reorientation of health services delivery toward management of chronic illness, support for improving clinical decisions, enhanced skills of people to prevent and self-manage chronic disease, partnerships of stakeholders and information systems to track the impact of interventions and identify care 'gaps'. The authors advocate that hypertension organizations can lead aspects of hypertension strategy development and implementation. SUMMARY: Prevention and control of hypertension requires a strategic approach that could have a central role for hypertension experts and the hypertension community.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".