Antianginal Efficacy of Ivabradine/Metoprolol Combination in Patients With Stable Angina
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Bibliographic record
Abstract
Medical treatment is the main clinical strategy for controlling patients with chronic stable angina and improving their quality of life (QoL). Ivabradine treatment on top of metoprolol decreases angina symptoms and improves QoL in patients with stable angina and coronary artery disease (CAD). This is a post hoc analysis (636 CAD patients given ivabradine/metoprolol free combination) of a prospective, noninterventional study that included 2403 patients with CAD and stable angina. Data were recorded at baseline at 1 and 4 months after inclusion. Patient QoL was assessed using the EQ-5D questionnaire. From baseline to study completion; ivabradine administration on top of metoprolol decreased heart rate (HR) from 80.8 ± 9.6 to 64.2 ± 6.2 bpm (P < 0.001). Mean number of angina attacks decreased from 2.0 ± 2.0/wk to 0.2 ± 0.6/wk (P < 0.001), whereas nitroglycerin consumption decreased from 1.4 ± 1.9 times/wk to 0.1 ± 0.4 times/wk (P < 0.001). The percentage of patients in Canadian Cardiovascular Society angina class III to IV decreased from 15.4% to 1.9% (P < 0.001). The improvement of symptoms and angina class led to a significant 14.7-point increase in EQ-5D questionnaire score (P < 0.001). Patients with increased HR showed greater improvement (P = 0.001). Adherence to treatment during the entire trial was high (98%). Ivabradine combined with metoprolol significantly decreased angina symptoms and use of nitroglycerin in patients with stable angina and CAD, leading to improved QoL. The benefits observed with this combination explain the high rate of adherence to treatment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it