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Record W3207165863 · doi:10.25270/jic/20.00688

Coronary Artery Disease in Adults Undergoing Percutaneous Patent Foramen Ovale Closure Following Cryptogenic Stroke.

2021· article· en· W3207165863 on OpenAlexaff
Claudia Frankfurter, Annamalar Muthuppalaniappan, Ricardo Gorocica-Romero, Lusine Abrahamyan, Christopher Olesovsky, Jin Ma, Lee Benson, Mark Osten, Eric Horlick

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicinePatent foramen ovaleCoronary artery diseaseInternal medicineCardiologyPercutaneousStroke (engine)AngiographyAngioplastyRadiologySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: A patent foramen ovale (PFO) is found in nearly half of patients with cryptogenic stroke. Little guidance on the use or necessity of coronary angiography at the time of percutaneous PFO closure exists. We aimed to characterize the presence of coronary artery disease (CAD) in patients undergoing PFO closure following a cryptogenic stroke. METHODS: A retrospective analysis of consecutive patients who underwent concurrent percutaneous PFO closure and coronary angiography was performed. Patients were ≥40 years of age and had a preceding diagnosis of cryptogenic stroke with no known CAD. Visual analysis of coronary angiograms was performed. RESULTS: Of 180 patients, 8 (4%) had severe CAD, 15 (8%) had moderate CAD, 32 (18%) had mild CAD, and 12 (7%) had luminal irregularities. Of those with moderate-to-severe CAD, 9 (5%) had proximal disease and 9 (5%) had multivessel disease. Of those with moderate-to-severe CAD, 8 (35%) underwent further risk stratification with stress testing, 4 (17%) were medically managed, and 1 (4%) underwent concurrent angioplasty. CONCLUSIONS: Coronary angiography identified a low prevalence of CAD in patients with cryptogenic stroke undergoing PFO closure, suggesting that coronary angiography is not routinely indicated in patients undergoing PFO closure.

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 score0.091
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.216
Teacher spread0.193 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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