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Record W4321995523 · doi:10.14740/jmc4037

Left Main Coronary Artery Aneurysm With Rare Quadfurcation Anatomy

2023· article· en· W4321995523 on OpenAlexvenueno aff
Yevgeniy A. Latyshev, John P. Avendano, Sohil Patankar

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiac catheterizationAneurysmArteryChest painCardiologyCoronary artery diseasePercutaneousCoronary artery aneurysmInternal medicineRadiology

Abstract

fetched live from OpenAlex

Coronary artery aneurysms (CAAs) are found in a small percentage of coronary angiograms, with left main coronary artery (LMCA) aneurysms being the least common. We present a 63-year-old male patient with a history of chest pain and an abnormal nuclear stress test. Cardiac catheterization showed a large LMCA aneurysm with unusual quadfurcation left main (LM) anatomy, but otherwise showed no evidence of obstructive coronary artery disease. The patient remained clinically stable, and a repeat cardiac catheterization 2 years later showed unchanged coronary anatomy. Further medical management with close observation was elected. This case illustrates that in select cases, large LMCA aneurysms can be successfully managed medically without surgical or percutaneous interventions. To our knowledge, this is the first report of LMCA aneurysm with quadfurcation anatomy. In addition to the case description, a review of the literature is provided.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.319
Teacher spread0.292 · 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
Published2023
Admission routes1
Has abstractyes

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