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Record W2971232474 · doi:10.4103/sjmms.sjmms_47_18

Large Aneurysm of the Left Main Coronary Artery: A Case Report

2019· article· en· W2971232474 on OpenAlexaboutno aff
AbdullahM Alshehri

Bibliographic record

VenueSaudi Journal of Medicine and Medical Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicKawasaki Disease and Coronary Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsymptomaticAneurysmCardiologyRight coronary arteryInternal medicineAnginaArteryCoronary artery aneurysmEctasiaCircumflexCanadian Cardiovascular SocietyAngiographyBypass surgeryCoronary angiographyRadiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Left main coronary artery aneurysms are very rare and are incidentally encountered in about 0.1% of patients undergoing angiography. Atherosclerosis represents the main cause of this aneurysm in adult patients. Here, the author presents a case of a 58-year-old female with a history of hypertension and diabetes who had a Canadian Cardiovascular Society Grade II-III angina for the past 6 months. Selective coronary angiography revealed a large aneurysm involving the left main coronary artery (measuring 2 cm × 3 cm) with extensive coronary calcifications, ectatic proximal left circumflex followed by 80% stenotic lesion with normal left anterior descending and right coronary artery. The patient was managed with coronary artery bypass grafting along with ligation of the aneurysm. At the 3-month follow-up, the patient was asymptomatic. Therefore, distal coronary artery bypass surgery represents one of the therapeutic options and was safe and effective in our case.

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)0.003
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 score0.007
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0030.002
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0070.004
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 head0.324
Teacher spread0.296 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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Same venueSaudi Journal of Medicine and Medical SciencesSame topicKawasaki Disease and Coronary ComplicationsFrench-language works237,207