MétaCan
Menu
Back to cohort

Impact of Bypass Conduit and Early Technical Failure on Revascularization for Chronic Limb-Threatening Ischemia

2025· article· en· W4408590507 on OpenAlexaff
Michael S. Conte, Alik Farber, Andrew Barleben, Emiliano Chisci, Gheorghe Doros, Vikram S. Kashyap, Ahmed Kayssi, Philippe Kolh, Carla Moreira, Timothy Nypaver, Kenneth Rosenfield, Vincent L. Rowe, Andres Schanzer, Niten Singh, Jeffrey J. Siracuse, Michael B. Strong, Matthew T. Menard

Bibliographic record

VenueCirculation Cardiovascular Interventions · 2025
Typearticle
Languageen
FieldMedicine
TopicPeripheral Artery Disease Management
Canadian institutionsUniversity of Toronto
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineRevascularizationCritical limb ischemiaPerioperativeHazard ratioSurgeryIschemiaAdverse effectBypass surgeryAmputationRandomized controlled trialProportional hazards modelInternal medicineArteryConfidence intervalMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: The optimal strategy for lower extremity revascularization (surgical bypass versus endovascular intervention) in patients with chronic limb-threatening ischemia (CLTI) is unclear. We examined the effectiveness of open surgical bypass using single-segment great saphenous vein conduit (SSGSV), alternative conduits (AC), or endovascular interventions (ENDO) among patients with CLTI deemed acceptable for either open surgical bypass or ENDO treatment. METHODS: This was a planned as-treated analysis of the multicenter BEST-CLI (Best Endovascular Versus Best Surgical Therapy in Patients With Critical Limb Ischemia) randomized controlled trial comparing open surgical bypass and ENDO for CLTI due to infrainguinal peripheral artery disease. Outcomes were tabulated based on the initial revascularization received: SSGSV bypass, AC bypass, and ENDO. Analyses were performed for all treated patients and then excluding those who experienced early technical failure. Multivariable Cox regression models were used. End points included the primary trial outcome (major adverse limb event [MALE] or all-cause death), major amputation, MALE at any time or perioperative (30-day) death, reintervention-amputation-death, and all-cause mortality. RESULTS: Among 1780 patients with CLTI, treatments received included SSGSV bypass (n=621), AC bypass (n=236), and ENDO (n=923) procedures. There were no significant differences in 30-day mortality, major adverse cardiovascular events, or serious adverse events; subjects treated with ENDO experienced greater MALE within 30 days (13.1% versus 2.7%, 3% for SSGSV, AC; P <0.001). On risk-adjusted analysis, SSGSV bypass was associated with reduced MALE or all-cause death (hazard ratio, 0.65 [95% CI, 0.56–0.76]; P <0.001), major amputation (hazard ratio, 0.70 [95% CI, 0.52–0.94]; P =0.017), MALE or perioperative death (hazard ratio, 0.51 [0.41–0.62]; P <0.001), and reintervention-amputation-death (hazard ratio, 0.69 [95% CI, 0.61–0.79]; P <0.001). AC bypass was associated with reduced MALE or perioperative death and reintervention-amputation-death compared with ENDO. Significant benefits of SSGSV over ENDO remained when excluding patients who experienced early technical failure. There were no significant differences in long-term mortality by initial treatment received. When analyzed by the level of disease treated, the improved outcomes of SSGSV were greatest among patients who underwent femoropopliteal revascularization. CONCLUSIONS: Analysis of as-treated outcomes from the BEST-CLI trial demonstrates the safety and clinical superiority of bypass with SSGSV among patients with CLTI who were deemed suitable for either open surgical bypass or ENDO revascularization. Assessment of great saphenous vein quality should be incorporated into the evaluation of patients with CLTI who are surgical candidates. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifiers: NCT02060630 and NCT02060630.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.649

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)0.0000.000

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 head0.026
GPT teacher head0.333
Teacher spread0.307 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCirculation Cardiovascular InterventionsSame topicPeripheral Artery Disease ManagementFrench-language works237,207