A step in the global effort to control hypertension: Fixed dose combination antihypertensive drugs
Bibliographic record
Abstract
Several fixed dose combinations (FDCs) of antihypertensive drugs have recently been added to the World Health Organization model list of essential medications. FDCs have advantages in the management of hypertension compared to single drug tablets including improved adherence, greater blood pressure lowering and are associated with reduced cardiovascular complications. FDCs can also reduce ethnic, and age-related variation in blood pressure lowering and have similar or reduced adverse effects relative to single-drug therapy. Best hypertension control practices from the World Health Organization HEARTS program advocates the use of FDC in simple directive treatment protocols. FDC in simple directive protocols was viewed as a key success factor in the control of chronic infections (eg, tuberculosis, HIV). Unfortunately, implementing simple directive protocols with FDC has had substantial opposition from hypertension experts. Hypertension organizations and experts need to familiarize themselves with best practices in hypertension control, their supporting evidence and to become advocates.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 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".