Late-Presenting Mid-Segment Coronary Saphenous Vein Graft Pseudoaneurysm
Bibliographic record
Abstract
A 64-year-old Caucasian male was referred to our hospital for a NSTEMI. The patient had undergone coronary artery bypass grafting 19 years earlier and had a mechanical mitral valve, presenting on warfarin with a therapeutic INR. His grafts included a left internal mammary artery (LIMA) to the left anterior descending (LAD) artery and a saphenous vein graft (SVG) to the second obtuse marginal (OM2) artery. Three years earlier, a routine thoracic CT angiogram at the referring hospital incidentally revealed a 41×38 mm SVG pseudoaneurysm in the proximal to mid-segment. Two months before his NSTEMI, a follow-up non-contrast thoracic CT showed an enlargement to 41×42 mm with partial thrombosis, despite long-term anticoagulation. At that time, the patient remained asymptomatic, and no intervention was deemed necessary at that time by the patient's treating physician. No further investigations or imaging were done before his presentation with a NSTEMI.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".