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Record W2606173784 · doi:10.1055/s-0037-1601873

Iatrogenic Great Cardiac Vein Anastomosis during Coronary Artery Bypass Surgery

2017· article· en· W2606173784 on OpenAlexaff
Alireza Bagherli, Hilary Bews, Minh Vo, John Ducas, Davinder S. Jassal, Amir Ravandi

Bibliographic record

VenueInternational Journal of Angiology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsSt. Boniface HospitalUniversity of Manitoba
Fundersnot available
KeywordsMedicineAnastomosisSurgeryPercutaneous coronary interventionCardiologyArteryAnginaVeinPercutaneousInternal medicineCoronary artery bypass surgeryGreat cardiac veinComplicationMyocardial infarction

Abstract

fetched live from OpenAlex

Inadvertent anastomosis of the left internal mammary artery (LIMA) or a saphenous vein graft (SVG) to the great cardiac vein (GCV) is a rare complication of coronary artery bypass grafting (CABG). We present two cases with a LIMA to GCV and a SVG to GCV anastomosis, respectively, resulting in angina and dyspnea in the postoperative state. As an alternative to repeat CABG, both patients underwent percutaneous coronary intervention with percutaneous coil embolization or implantation of an Amplatzer vascular plug within the bypass graft to GCV conduit. This report highlights that percutaneous options exist for the relief of ischemic symptoms in this rare clinical setting.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.014
GPT teacher head0.276
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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