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Record W4210367034 · doi:10.7860/jcdr/2021/51242.15589

Coronary Intervention in Separate Origin of Left Anterior Descending and Left Circumflex Coronary Artery

2021· article· en· W4210367034 on OpenAlexaboutno aff
Debasish Das, Debasis Acharya, Tutan Das, Subhas Pramanik

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2021
Typearticle
Languageen
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsCircumflexCardiologyMedicineInternal medicineArtery

Abstract

fetched live from OpenAlex

Coronary anomalies are not commonly encountered in routine clinical practice. This case report is of a 55-year-old female who presented with effort angina, Canadian Cardiovascular Society (CCS) class II, since last six months with shortness of breath. Echocardiography (ECG) revealed the presence of Non ST Elevation Myocardial Infarction (NSTEMI) and the presence of no Regional Wall Motion Abnormality (RWMA), with normal left ventricular systolic function. Right transradial coronary angiogram revealed the presence of separate origin of Left Anterior Descending (LAD) and Left Circumflex (LCX) coronary artery. Although separate origin of LAD and LCX is the most common benign coronary anomaly noted in clinical practice, interestingly both coronary arteries in this case were harboring significant atherosclerotic occlusion and were successfully revascularised with Drug Eluting Stents (DES). Coronary intervention in separate origin of LAD and LCX requires special maneuvers during guide catheter management for percutaneous intervention. Clockwise rotation of the guide catheter to selectively engage the LCX and anticlockwise rotation of the guide catheter to selectively engage the LAD is the key for procedural success during coronary intervention. This case is unique and the first to describe the separate origin of LAD and LCX presenting as NSTEMI with critically obstructive Coronary Artery Disease (CAD) in both of them and age being the only conventional cardiac risk factor behind it.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.165
GPT teacher head0.486
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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