Сравнительный анализ изменения толерантности к физической нагрузке у больных ишемической болезнью сердца под влиянием терапии, основанной на бисопрололе и ивабрадине
Bibliographic record
Abstract
To conduct the study were selected 64 patients with ischemic heart disease (stable angina I-III functional class), patient age from 45 to 74 years. The diagnosis of angina I-III FC verified according to the treadmill test, as recommended by the Canadian Association of pits, cardiologists, clinical and anamnestic characteristics. A prerequisite to enroll patients in the study was the presence of sustained sinus rhythm and the absence of significant mitral valve regurgitation on the results of echocardiography. After defining the basic parameters examined patients were randomized into 2 groups. Patients first group (32 persons), in addition to standard therapy (aspirin, statins, ACE inhibitors, nitrates) for 12 weeks received a beta-blocker bisoprolol 5-10 mg / day. Patients second group (32 subjects), in addition to standard therapy for 12 weeks received If-inhibitor ivabradine at a dose of 5-7.5 mg 2 times a day. Terminating an ECG test was performed on a treadmill «Stress-Test ST-2001 (Netherlands) with the use of a modified Bruce protocol.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".