Patient Perception of the Effect of Treatment with Candesartan in Heart Failure. Results of the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) programme
Bibliographic record
Abstract
AIMS: To evaluate the effect of the angiotensin receptor blocker candesartan on patients' perception of symptoms, using the McMaster Overall treatment evaluation (OTE), in a broad spectrum of patients with chronic heart failure (CHF). METHODS AND RESULTS: Patients with symptomatic CHF, randomised in the CHARM Programme in North America (n=2498), were studied. OTE was assessed at baseline, at 6, 14 and 26 months and the patient's final or closing visit. Patient's status was classified as "improved (score +1 to +7)", "unchanged (score 0)" or "deteriorated (score -1 to -7)" at the end of the study compared to baseline. Both a simple "last visit carried forward" (LVCF) analysis and "worst rank carried forward" (WRCF) analysis (where patients who died were allocated the worst OTE score) were used. In the LVCF analysis, compared to placebo, more candesartan patients improved (37.7% versus 33.5%) and fewer worsened (10.8% versus 12.0%) in OTE (p=0.017). The WRCF analysis also showed better overall OTE scores with candesartan compared to placebo (p=0.029). There was no heterogeneity in the response to candesartan between the CHARM component trials or across four exploratory sub-groups (age, sex, NYHA class and beta-blocker). CONCLUSIONS: Candesartan was shown to be better than placebo, when using the McMaster OTE to measure patient perception of treatment. More patients treated with candesartan reported improvement and fewer reported deterioration. This benefit was obtained when candesartan was added to extensive background therapy and is consistent with the benefits of candesartan on NYHA class, hospital admission for worsening heart failure and mortality.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".