Treating Diffuse Three-vessel Coronary Artery Disease with Percutaneous Coronary Intervention
Bibliographic record
Abstract
We present a case of a 57-year-old man, with a history of heavy smoking, noninsulin dependent diabetes mellitus (NIDDM) and untreated hypercholesterolemia.He was complaining for typical angina on effort which started one month ago. He had a treadmill stress test which was terminated very early because of angina and ECG changes evident of myocardial ischemia.Coronary angiogram showed diffuse disease of the right coronary artery (RCA) and 100% obstruction (Fig. 1), a non significant plaque at the distal part of left main coronary artery, diffuse disease in the left anterior descending (LAD) and left circumflex (LCx) (Fig. 2 & 3) with very significant and complex lesions at the proximal parts, and left ventricular ejection fraction impaired, estimated about 35%. We proposed that according to the evidence and the guidelines he should have surgery (CABG).Although we insisted on CABG, the patient rejected this treatment and asked for coronary angioplasty (PTCA).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".