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Record W3082263500 · doi:10.14740/jmc3527

A Fistula Where? Left Anterior Descending to Pulmonary Artery Fistula

2020· article· es· W3082263500 on OpenAlexvenueno aff
Samantha Gelman, Andrew Benin, Javad Savoj, Rajesh Gulati, Kaustubh C. Patankar, Patrick Hu

Bibliographic record

VenueJournal of Medical Cases · 2020
Typearticle
Languagees
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFistulaAsymptomaticPulmonary arteryArteryCoronary stealCardiologyInternal medicineSurgeryBronchial arteryLeft pulmonary arteryRadiologyEmbolizationMyocardial infarctionCoronary angiography

Abstract

fetched live from OpenAlex

Fistulas are abnormal passageways between two organs or vessels that usually do not connect. Coronary artery fistulas occur when one of the coronary arteries is connected to either a heart chamber or another blood vessel. This case presents a coronary artery fistula which may or may not be impacting the patient's heart function. A 69-year-old male with multiple comorbidities presents with a chief complaint of shortness of breath. Catheterization reveals an anomalous left anterior descending to pulmonary artery fistula without a step up in oxygen saturation at the level of the pulmonary artery. Surgical management was deferred as this fistula was not deemed to contribute to the patient's declining cardiac function. Operative management versus embolization would be a feasible alternative for patients who are symptomatic secondary to the coronary artery fistula and remains to be controversial in patients who are asymptomatic. Given the possibility of these fistulae eventually causing symptoms it would be practical to close them early on before symptoms arise or before size of the fistulae becomes an issue. Further research should be conducted to understand the management strategies for patients who present with coronary artery fistulas.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.034
GPT teacher head0.305
Teacher spread0.270 · 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.

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

Citations2
Published2020
Admission routes1
Has abstractyes

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