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Record W4415972976 · doi:10.1016/j.cjca.2025.09.050

Superior Vena Cava Syndrome in a Dialysis Patient After Re-do Bentall Hemi-Arch With Division of the Innominate Vein: A Case Report

2025· article· en· W4415972976 on OpenAlexaffvenue
Keir A. Forgie, Prapti Patel, Matthew Cwinn, Michael C. Moon

Bibliographic record

VenueCanadian Journal of Cardiology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsGrey Nuns Community HospitalUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsDialysisSuperior vena cava syndromeSuperior vena cavaDivision (mathematics)Vena cava

Abstract

fetched live from OpenAlex

Division of the left innominate vein (LIV) may be a necessary compromise in aortic surgery to enhance arch vessel exposure (1). We present a re-do aortic arch case where LIV division caused superior vena cava syndrome (SVCS) due to dialysis catheter-induced stenosis of the right innominate vein (RIV), highlighting the importance of detailed central venous imaging and potential LIV reconstruction in high-risk patients.

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)0.000
metaresearch head score (Gemma)0.005
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 score0.011
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.005
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.004
Scholarly communication0.0030.004
Open science0.0030.003
Research integrity0.0110.008
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.285
Teacher spread0.272 · 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

Citations0
Published2025
Admission routes2
Has abstractno

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