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Record W4282840058 · doi:10.18087/cardio.2022.5.n1901

Prevalence and characteristics of coronary artery fistula in adults: coronary angiographic analysis of 18,106 patients

2022· article· en· W4282840058 on OpenAlexaff
Sebahat Tekeli Şengül, Betül Banu Karasu

Bibliographic record

VenueKardiologiia · 2022
Typearticle
Languageen
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsMedicineInternal medicineCardiologyVentricleArteryFistulaCoronary arteriesMyocardial infarctionRight coronary arteryPulmonary arteryLeft coronary arteryRadiologyCoronary angiography

Abstract

fetched live from OpenAlex

Aim Coronary artery fistula (CAF) is a rarely encountered anomaly that is characterized by an abnormal connection between a coronary artery and a cardiac chamber or a great thoracic vessel. Its incidence has not been precisely established due to the large number of undiagnosed cases and it shows heterogeneity in its anatomic configuration and clinical consequences. We aimed to assess the frequency, imaging findings, and clinical features of CAF among patients in our tertiary medical center.Material and methods The angiographic data of 18,106 consecutive adult patients who underwent coronary angiography between January 2011 and June 2013 were retrospectively analyzed.Results CAF was detected in 22 patients (0.14 %). Of these, 5 patients had bilateral fistulas (23 %). 65 % of the fistulas originated from the left anterior descending coronary artery,and 53 % drained into the pulmonary artery. The left ventricle and left atrium were the only drainage sites for left-sided coronary artery fistulas. One patient with a CAF presented with non-ST elevated myocardial infarction in the absence of an evident thrombosis.Conclusion Unlike previous reports, bilateral CAFs were more commonly encountered in this study. Contrary to most of the data in the literature, more than half of the CAFs originated from the left anterior descending coronary artery and most drained into the pulmonary artery. Rare anatomic types of CAFs were also detected.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.005
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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

Citations6
Published2022
Admission routes1
Has abstractyes

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