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Record W2904337295 · doi:10.14740/cr798

A Successfully Treated STEMI Due to Simultaneous Thrombotic Occlusion of Left Anterior Descending Artery and Left Circumflex Artery: A Case Report and Review of the Literature

2018· article· en· W2904337295 on OpenAlexvenueno aff
Michał Kuzemczak, Ryszard Kąsinowski, Piotr Skrobich, Roland Podlewski, Piotr Kałmucki

Bibliographic record

VenueCardiology Research · 2018
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyCircumflexInternal medicineArteryOcclusion

Abstract

fetched live from OpenAlex

ST-segment elevation myocardial infarction (STEMI) due to simultaneous double vessel thrombotic occlusion of two major coronary arteries is an extremely rare clinical entity. Available studies indicate that most frequently it affects two coronary arteries originating from different sides of a coronary tree (i.e. right coronary artery (RCA) and left anterior descending artery (LAD) or RCA and left circumflex artery (LCx)) and usually has a fatal clinical course. However, it must be pointed out that the data have been derived from studies before the era of a widely-used pre-hospital electrocardiogram (ECG) teletransmission. Herein, we present a case report of successfully-treated STEMI due to simultaneous occlusion of LAD and LCx. Furhtermore, the case report highlights a crucial role of ECG teletransmission for immediate treatment and survival of patients with the so-called "the deadly double infarct syndrome".

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.001
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 head0.030
GPT teacher head0.351
Teacher spread0.321 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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