Avoiding the “concertina” effect in PCI of a severely tortuous lad using the Suoh 03 wire: A case report
Bibliographic record
Abstract
Abstract A 62-year-old woman with multiple cardiovascular risk factors presented with Canadian Cardiovascular Society Class III angina. In preparation for scheduled endovascular repair of the abdominal aorta, a preoperative coronary angiogram revealed a very tortuous left anterior descending (LAD) artery with tandem high-grade lesions in the mid-to-distal segments. Percutaneous coronary intervention (PCI) was performed using an ultra-soft Suoh 03 guidewire to minimize the anticipated risk of the concertina effect and reduce the likelihood of guidewire-induced dissection. The lesions were successfully pre-dilated and treated with drug-eluting stents, achieving complete revascularization without complications. This case highlights the strategic use of the Suoh 03 wire in navigating tortuous coronary anatomy and safely performing PCI in such challenging vascular conditions.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| 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 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".