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Record W4283640406 · doi:10.1093/ehjcr/ytac263

Multi-vessel spontaneous coronary artery dissection in a patient with aortic dissection: a case report

2022· article· en· W4283640406 on OpenAlexaff
Motasem Alyamani, Amir Aziz, Jeevan Nagendran, Robert C. Welsh

Bibliographic record

VenueEuropean Heart Journal - Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAortic dissectionMedicineCardiologyArtery dissectionDissection (medical)Internal medicineRight coronary arteryArteryAortaRadiologyCoronary angiographyMyocardial infarction

Abstract

fetched live from OpenAlex

Background: Spontaneous coronary artery dissection (SCAD) is a rare cause of acute coronary syndrome that is often misdiagnosed. Case summary: We describe a case of multi-vessel SCAD in a 73-year-old patient with no evidence of fibromuscular dysplasia that is presented with Type A aortic dissection after undergoing an ascending aorta and aortic arch replacement with stent placement in the abdominal aorta. The use of percutaneous coronary intervention with cutting balloons and drug-eluting stent implantation helped wean the patient off extracorporeal membrane oxygenation successfully. Discussion: To our knowledge, this is the first reported case of multi-vessel SCAD presenting concomitantly with aortic dissection. More research is needed to help understand the pathophysiology of the two conditions as well as possible links between them.

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)0.004
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0040.002
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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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
Published2022
Admission routes1
Has abstractyes

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