Canadian experience with percutaneous endovascular aneurysm repair: short-term outcomes.
Bibliographic record
Abstract
BACKGROUND: To decrease the morbidity associated with cut-downs during endovascular aneurysm repair, some authors have suggested the totally percutaneous endovascular repair (PEVAR). The goal of this report is to evaluate and describe our centre's experience with the total percutaneous endovascular aneurysm repair (PEVAR) for aortic abdominal aneurysm (AAA). METHODS: We performed a retrospective analysis of 15 consecutive patients with AAA, including 1 with right common iliac artery aneurysm. RESULTS: There were 12 men and 3 women with a mean age of 74 (standard deviation [SD] 2) years who underwent PEVAR with a Perclose ProGlide suture-mediated closure system between July 2007 and July 2008. All surgeries were elective. Forty percent of patients had a history of smoking, 73% were hypertensive, 33% were diabetic, 20% had chronic obstructive pulmonary disease and 40% had coronary artery disease. Fourteen patients had bilateral deployment for bifurcated devices (7 bifurcated Gore Excluder, 7 bifurcated Cook Zenith grafts), and 1 patient had unilateral deployment for a Cook Zenith device. The outer diameter of the sheaths used for puncture sites was on average 18.1-Fr (SD 0.6), with main bodies being 21.1-Fr (SD 0.3) and contralateral sides 15-Fr (SD 0.3). Procedural success was 93%, with 1 patient requiring a femoral artery cut-down because of failure of the Perclose device to deploy in the groin. Another patient had persistent venous bleeding in 1 puncture site that stopped with skin suturing. Endovascular aneurysm repair was 100% with no conversion to open surgery and no type-I endoleaks. The mean length of stay in hospital was 2.2 (SD 0.4) days. There were no long-term groin complications at 6 (SD 1) months' follow-up. CONCLUSION: To our knowledge, this is the first Canadian report of experience with PEVAR using the Perclose device. The technique is safe, reliable and allows discharge of patients soon after surgery.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".