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Record W4318912124 · doi:10.1097/rti.0000000000000694

Cardiac Magnetic Resonance Imaging and Clinical Follow-up in Antimalarial-induced Cardiomyopathy in Patients With Systemic Lupus Erythematosus

2023· article· en· W4318912124 on OpenAlex
Tamar Shalmon, Paaladinesh Thavendiranathan, Paula Harvey, Shadi Akhtari, Kostantinos Tselios, Dafna D. Gladman, Kate Hanneman

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

VenueJournal of Thoracic Imaging · 2023
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Ocular Toxicity
Canadian institutionsToronto Western HospitalToronto General HospitalWomen's College HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineMagnetic resonance imagingCardiomyopathyCardiac magnetic resonance imagingCardiologyInternal medicineEjection fractionRadiologyHeart failure

Abstract

fetched live from OpenAlex

Antimalarial-induced cardiomyopathy is under-recognized in clinical practice and there is limited data on the evolution of cardiac imaging abnormalities after cessation of anti-malarial therapy. In this case series of 9 patients with antimalarial-induced cardiomyopathy, follow-up cardiac magnetic resonance imaging demonstrated interval increase in late gadolinium enhancement extent in 89% of patients and interval decrease in left ventricular ejection fraction in all, despite cessation of anti-malarial therapy. Progression of cardiac abnormalities despite cessation of therapy underscores the important role of imaging in the early recognition of antimalarial-related treatment changes.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.078
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 integrity0.0000.001
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 head0.308
Teacher spread0.293 · 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