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Record W2934397892 · doi:10.1002/ccd.28209

Transpedal vs. femoral access for peripheral arterial interventions—A single center experience

2019· article· en· W2934397892 on OpenAlexaff
Sooraj Shah, Anna E. Bortnick, Olivier F. Bertrand, Olivier Costerousse, Wah Wah Htun, Tak Kwan

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2019
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineArterial diseaseFluoroscopyFemoral arteryPeripheralSingle CenterSurgeryRevascularizationDemographicsRandomized controlled trialRadiologyVascular diseaseInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.064
GPT teacher head0.329
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2019
Admission routes1
Has abstractyes

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