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Record W3130878006 · doi:10.1161/circep.120.009203

Arrhythmias in Cardiac Sarcoidosis Bench to Bedside

2021· review· en· W3130878006 on OpenAlexaff
Lynda E. Rosenfeld, Mina K. Chung, Clifford V. Harding, Paolo Spagnolo, Johan Grünewald, Jason Appelbaum, William H. Sauer, Daniel A. Culver, José A. Joglar, Ben A. Lin, Christine Jellis, Timm-Michael Dickfeld, Deborah Kwon, Edward J. Miller, Paul Cremer, Frank Bogun, Jordana Kron, Ashley Bock, Davendra Mehta, Paul Leis, Konstantinos C. Siontis, Elizabeth S. Kaufman, Thomas Crawford, Peter Zimetbaum, Edwin Zishiri, Jagmeet P. Singh, Kenneth A. Ellenbogen, Jonathan Chrispin, Syed M. Quadri, Logan Vincent, Kristen K. Patton, Steven Kalbfleish, Thomas Callahan, Francis Murgatroyd, Marc A. Judson, David H. Birnie, David R. Okada, Christopher Maulion, Pavan Bhat, Lavanya Bellumkonda, Ron Blankstein, Richard K. Cheng, Maryjane Farr, Jerry D. Estep

Bibliographic record

VenueCirculation Arrhythmia and Electrophysiology · 2021
Typereview
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsUniversity of Ottawa
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood Institute
KeywordsMedicineSarcoidosisDiseaseGuidelineCardiac magnetic resonanceCardiologyCardiac sarcoidosisPositron emission tomographyMagnetic resonance imagingIntensive care medicineBench to bedsideInternal medicineRadiologyPathologyMedical physics

Abstract

fetched live from OpenAlex

Cardiac sarcoidosis is a component of an often multiorgan granulomatous disease of still uncertain cause. It is being recognized with increasing frequency, mainly as the result of heightened awareness and new diagnostic tests, specifically cardiac magnetic resonance imaging and 18 F-fluorodeoxyglucose positron emission tomography scans. The purpose of this case-based review is to highlight the potentially life-saving importance of making the early diagnosis of cardiac sarcoidosis using these new tools and to provide a framework for the optimal care of patients with this disease. We will review disease mechanisms as currently understood, associated arrhythmias including conduction abnormalities, and atrial and ventricular tachyarrhythmias, guideline-directed diagnostic criteria, screening of patients with extracardiac sarcoidosis, and the use of pacemakers and defibrillators in this setting. Treatment options, including those related to heart failure, and those which may help clarify disease mechanisms are included.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.046
GPT teacher head0.363
Teacher spread0.316 · 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 designOther design
Domainnot available
GenreReview

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

Citations30
Published2021
Admission routes1
Has abstractyes

Explore more

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