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Record W3140173204 · doi:10.1093/ehjci/jeab066

Arrhythmogenic cardiomyopathy presenting as an inflammatory cardiomyopathy: the role of 18F-fluorodeoxyglucose positron emission tomography scan

2021· article· en· W3140173204 on OpenAlexaff
Paloma Jordà, Julie M. Robillard, Jean‐Pierre Grégoire, Geneviève Giraldeau, Julia Cadrin‐Tourigny

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineHypokinesiaVentricleCardiologyEjection fractionInternal medicineLeft bundle branch blockPositron emission tomographyFluorodeoxyglucoseCardiomyopathyDilated cardiomyopathyVentricular tachycardiaHeart failureNuclear medicine

Abstract

fetched live from OpenAlex

A 56-year-old man was admitted with exercise-triggered ventricular tachycardia (VT) of left bundle branch block morphology and inferior axis at 214 bpm. He had a strong family history of sudden death and heart transplantation. Electrocardiogram showed low voltages in limb leads, inferolateral T-waves inversion, and normal cardiac conduction. Coronary angiogram was normal. Cardiac magnetic resonance (CMR) showed a mildly dilated right ventricle (RV: 116 mL/m2), with moderate dysfunction (RV ejection fraction of 37%) associated with regional free wall akinesia and dyskinesia and apical hypokinesia. The left ventricle (LV) globally had normal function and volumes but showed areas of late gadolinium enhancement and lateral and inferior wall thinning (Panels A–D, Supplementary data online). The 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) demonstrated a hypermetabolic focus in the inferior LV and apex compatible with cardiac sarcoid. Consequently, prednisone (0.5 mg/kg/day p.o.) was started with remission...

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.241
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2021
Admission routes1
Has abstractyes

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