Candesartan in Heart Failure - Assessment of Reduction in Mortality and Morbidity (CHARM) Study Programme
Bibliographic record
Abstract
Heart failure is a major cause of death, hospital admissions and poor quality of life. It affects some 1-2% of the general population, increasing to up to 8% in people over 75 years of age. Although treatment with angiotensin-converting enzyme (ACE) inhibitors reduces symptoms and mortality, 50-70% of patients with heart failure still die within 5 years of diagnosis. There is thus clear scope for improving the treatment of patients with this condition. The CHARM programme is designed to define the clinical benefits of the long-acting angiotensin II type 1 (AT 1 ) receptor blocker, candesartan cilexetil, in a wide variety of patients with symptomatic heart failure. Candesartan cilexetil will be evaluated in three double-blind, randomized studies involving patients grouped according to left ventricular function and ACE inhibitor tolerance/intolerance.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".