Transpedal vs. femoral access for peripheral arterial interventions—A single center experience
Bibliographic record
Abstract
OBJECTIVE: To compare the transpedal approach to established femoral approach for endovascular treatment of infrainguinal peripheral arterial disease. BACKGROUND: Endovascular treatment of infrainguinal peripheral arterial disease is on the rise. Femoral approach is widely used but has significant complications. Recently the primary transpedal approach has been described for endovascular interventions. We hypothesized that transpedal approach could reduce access site related complications. We compared the two approaches in a retrospective cross-sectional study at a single center. METHODS: We analyzed demographics, procedural parameters, and complications in patients who underwent a primary transpedal approach for infrainguinal intervention and compared to patients with a traditional femoral approach in our outpatient based endovascular lab. RESULTS: The success rate for access was lower in transpedal group compared to femoral (94% vs. 100%, p = .0002). The contrast dose (44 ± 11 mL vs. 68 ± 13 mL, p < .0001), radiation dose (25 mGy [16-43] vs. 48 mGy [36-67], p < .0001) and fluoroscopy time (5.48 min [3.48-11.71] vs. 9.35 min [6.63-14.11], p < .0001) were significantly lower in transpedal group. CONCLUSION: The transpedal approach for infrainguinal revascularization appears to be a reasonable primary approach with high success and low complication rate with significant reduction in radiation and contrast dose. These findings should be further studied in a randomized controlled trial.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".