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Record W2318638469 · doi:10.1093/ejcts/ezv281

Off-pump minimally invasive coronary artery bypass grafting using the bilateral internal thoracic arteries and the right gastroepiproic artery

2015· article· en· W2318638469 on OpenAlexaff
Keita Kikuchi, Dai Une, Atsushi Kurata, Marc Ruel

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineInternal thoracic arteryArteryCardiologyRevascularizationSurgeryDialysisInternal medicineCoronary artery diseaseBypass graftingMyocardial infarction

Abstract

fetched live from OpenAlex

We report our initial experience of an off-pump total arterial minimally invasive coronary arterial bypass grafting (MICS CABG) with the use of bilateral internal thoracic arteries (BITA) and the right gastroepiproic artery. A 47-year old male with renal dysfunction secondary to diabetes mellitus was admitted for heart failure due to severe triple-vessel disease. Off-pump MICS CABG with total arterial grafts was elected because the patient refused to undergo median sternotomy due to the strong desire to regain the baseline function promptly. Total arterial grafts were selected to maximize the potential long-term outcome. There were no postoperative complications except temporary dialysis. Postoperative coronary computed tomography revealed the patency of all grafts. Our experience suggests that BITA can be safely harvested under direct vision in MICS CABG. Total arterial graft revascularization with BITA via minimally invasive approach may offer the benefits of MICS CABG while providing the undetermined but potentially superior conduit longevity of arterial grafts.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.276
Teacher spread0.244 · 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

Citations20
Published2015
Admission routes1
Has abstractyes

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