[Experience with the use of autoarterial conduits in coronary surgery].
Bibliographic record
Abstract
Between September 1999 and until the present time 14 direct myocardial revascularization using arterial conduits were performed at the Department of Vascular Surgery and Surgical Treatment of CAD, V. Vakhidov Scientific Center of Surgery, RU Ministry of Public Health. The internal mammary artery was used in all the cases, right gastroomental artery in 2 cases. Revascularization of one coronary artery was accomplished in 2 patients, of two arteries in 8 and of three coronary arteries in 4 patients. In 12 cases, direct myocardial revascularization was realized on the working heart and in 2 cases, under cardiopulmonary bypass. Ischemic changes on the ECG at rest, recorded in the preoperative period, disappeared following operation. In all the patients, myocardial contractility (EF) after operation rose by 6-8% on an average as compared to the initial level. Physical exercise tolerance was measured by BEM in 6 (42.9%) patients. Angina of effort, FC II, was diagnosed only in 2 patients. All the patients were discharged in a satisfactory condition. Only patients with unstable angina were recommended to take long-acting nitrates whereas the remaining subjects were advised to take the antiaggregation doses of aspirin.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".