Stabil coronariabetegség kezelésére alkalmazott trimetazidin prolong hatásosságának vizsgálata. <i>Multicentrikus, prospektív, obszervációs, nyílt klinikai vizsgálat, ONECAPS-vizsgálat</i>
Bibliographic record
Abstract
INTRODUCTION: The effectiveness of the manegement of stable coronary artery disease among outpatients is not well known. AIM: The aim of the study was to evaluate the effect of daily once trimetazidine prolong 80 mg on the angina number and severity (Canadian Cardiovascular Society class). METHOD: This multicenter, prospective, observational, 3-month clinical study included 2160 patients, but only 1701 patients completed the study. The patients' mean age was 68 years (17% under 60 years). The start of angina was 7.8 ± 6.7 years. Hypertension (93.4%) and hypercholesterolemia (81%) were very common. RESULTS: The patients were well treated with beta-blocking agents (88%), calcium antagonists (49%), angiotensin-converting enzym inhibitors (90%) and statin (77%) but only 5% received ivabradine and 50.5% was treated with trimetazidine MR. The patients attended 3 visits (inclusion, 1 month, 3 month). During the 3-month period, the weekly angina number of all patients treated with trimetazidine prolong 80 mg decreased from 2.55 to 0.41 (p<0.0001). A favorable effect was observed in CCS grading: CCS I. from 40.37% to 66.81%, CCS II. from 49.89% to 30.59%, CCS III. from 9.17% to 2% and CCS IV. from 0.56% to 0%. The mean office measured blood pressure decreased from 137/83 mmHg to 130/80 mmHg and the heart rate from 74 bpm to 71 bpm. CONCLUSIONS: In the real-life, in the stable coronary artery disease the angina remains despite the medical treatment. Once a day administered trimetazidine prolong 80 mg significantly reduced the weekly number of angina and the severity, too. These beneficial effects mediated not only by antiischemic effect but also by increased medication adherence. Orv Hetil. 2018; 159(38): 1549-1555.
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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 | 0.002 | 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) | 0.004 | 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".