[Postinfarction angina in elderly patients: results of surgical and drug treatment].
Bibliographic record
Abstract
Clinical and angiographical characteristics and results of surgical treatment and drug therapy were assessed in 49 men with postinfarction angina (mean age 64.1-/+3.5 years) and 112 patients with progressing and stable angina (mean age 63.8-/+3.0 years). Of 49 patients with postinfarction angina 30 were subjected to coronary artery bypass grafting (CABG) while 19 were treated with drugs only. Remote results were known in 17 and 19 patients of surgical and conservative groups, respectively. Average duration of follow-up was 66-/+20 months. Compared with patients with progressing and stable angina those with postinfarction angina had similar amplitude of ST-segment deviation during stress tests, ejection fraction, average number of involved coronary vessels, and profile of concomitant diseases, but higher prevalence of left main stenoses (23.6 and 40.8%, respectively, p=0.05). Among patients with postinfarction angina available for follow-up long-term survival of those treated with CABG was higher compared with patients treated conservatively (p=0.02). Nonfatal myocardial infarction developed in 17.7 and 31.6%, symptomatic improvement was registered in 76.5 and 5.3% of patients in surgical and conservative groups, respectively. In patients with postinfarction angina aged >or=60 years CABG surgery compared with drug therapy was associated with better survival and improved symptomatic status.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".