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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".