Cardioprotective effect of trimetazidine in elderly patients with coronary artery disease
Bibliographic record
Abstract
Objective To evaluate the cardioprotective effect of trimetazidine in elderly patients with myocardial ischemia and chronic heart failure of coronary artery disease. Methods Eighty nine patients with angiographically proven coronary artery disease were randomized to therapy group (n=45) and controlled group (n=44). The patients in therapy group were given both the routine treatment and trimetazidine 20 mg, 3 times daily, for 6 months. The patients in controlled group were given only the routine treatment. Results After the therapy, the episode of angina pectoris every week was fewer and weekly consumption of nitroglycerin tablets was less in patients of therapy group than those in controlled group: (3.0±1.7 )episodes/w vs (3.9±2.1 )episodes/w,P0.05;(1.6±0.9) mg/w vs (2.2±1.2) mg/w, P0.05, respectively. There were no differences in heart rate, systolic pressure and their product between the groups(P0.05). Work load were increased 〔(10.2± 2.2) vs( 9.3 ±1.7)METs, P0.05〕. Durations to induce angina, to induce 0.1 mV ST segment depression on electrocardiogram and to reach the maximal tolerance by exercise were prolonged in the therapy group than those in controlled group 〔(444.0 ±81.4) s vs ( 404.8± 71.6) s,P0.05;( 440.3± 75.6) s vs (387.3 ±77.0) s,P0.05, and (611.6± 179.8) s vs (506.3± 113.4) s,P0.01, respectively〕. Left ventricle ejection fraction (LVEF) was obviously increased 〔(46.4±5.6)% vs( 42.5±2.1)%, P0.05〕. Conclusions Trimetazidine has cardioprotective effect and anti-ischaemic properties in elderly patients with coronary artery disease. It could improve the cardiac function after myocardial ischemia induced by exercise. It has no effect on increment of heart rate and systolic pressure product.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".