Safety and Efficacy of Totally Percutaneous Access Compared With Open Femoral Exposure for Endovascular Aneurysm Repair
Bibliographic record
Abstract
PURPOSE: To compare the safety and efficacy of percutaneous (PEVAR) vs open femoral access (OFA) techniques for endovascular aneurysm repair (EVAR). METHODS: A systematic review of English-language articles (Medline, EMBASE, and Cochrane databases) between January 1999 and August 2016 returned 11 studies including 1650 patients with 2500 groin accesses eligible for the meta-analysis. Data extracted from each study were synthesized to evaluate technical success rates, procedure time, and complications for the 2 access approaches. Data are presented as the odds ratio (OR) or mean difference (MD) with 95% confidence intervals (CI). The quality of individual studies was evaluated based on the Newcastle-Ottawa scale. RESULTS: The mean technical success rate in the PEVAR group was 94.5% (785/831). The overall OR was 0.38 (95% CI 0.12 to 1.18, p=0.09), indicating no significant difference between the methods. The procedure time in PEVAR was shorter than OFA (mean difference -24.52, 95% CI -46.45 to -22.60, p<0.001). Overall, the total complication rate was 15.3% in the OFA group vs 7.8% in the PEVAR group (OR 0.52, 95% CI 0.37 to 0.73, p<0.001). The meta-analysis identified significant differences between groups for all complications (p<0.001) and the following individual adverse events: wound infection (OR 0.28, 95% CI 0.10 to 0.81, p=0.02), pseudoaneurysm (OR 8.07, 95% CI 1.54 to 42.32, p=0.01), seroma (OR 0.10, 95% CI 0.02 to 0.55, p=0.008), and lymphocele or lymph leak (OR 0.19, 95% CI 0.04 to 0.92, p=0.04). CONCLUSION: PEVAR had a similar technical success rate, shorter procedure time, and lower complication rate compared with OFA. Thus, percutaneous access appears to be the preferential approach for EVAR. However, larger and randomized studies are needed to draw definitive conclusions.
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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 | 0.011 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.020 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 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".