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Record W1519448891 · doi:10.1002/ccd.24640

Intracoronary imaging of coronary fibromuscular dysplasia with OCT and IVUS

2012· article· en· W1519448891 on OpenAlex
Jacqueline Saw, Rohan Poulter, Anthony Fung

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsFibromuscular dysplasiaMedicineIntravascular ultrasoundScadCardiologyOptical coherence tomographyMyocardial infarctionAcute coronary syndromeArtery dissectionInternal medicineRadiologyAutopsyCoronary atherosclerosisCoronary arteriesDysplasiaArteryCoronary artery diseaseCoronary angiographyRenal artery

Abstract

fetched live from OpenAlex

Fibromuscular dysplasia (FMD) is a segmental non-atherosclerotic, non-inflammatory vasculopathy typically of small- to medium-muscular arteries. Coronary FMD (CFMD) is believed to be rare. However, we have found an association between spontaneous coronary artery dissection (SCAD) and FMD as the cause of myocardial infarction in ∼25% of young women age <50 years. It is plausible that pre-existing CFMD predisposed these women to SCAD. Definitive diagnosis of CFMD entails autopsy that is obviously impractical, and prior angiographic description does not differentiate superimposed SCAD from obliterative arteriopathy of CFMD. Adjunctive intravascular ultrasound or optical coherence tomography may aid the diagnosis of CFMD and we report the first of such novel images.

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.

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 score0.282
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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