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Record W2491177816 · doi:10.1093/eurheartj/ehw328

Cardiac manifestations of sarcoidosis: diagnosis and management

2016· article· en· W2491177816 on OpenAlexaff
David H. Birnie, Riina Kandolin, Pablo B. Nery, Markku Kupari

Bibliographic record

VenueEuropean Heart Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicSarcoidosis and Beryllium Toxicity Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineAsymptomaticImmunosuppressionSarcoidosisDiseaseCardiologyInternal medicineHeart failureCardiac sarcoidosisPositron emission tomographyRadiology

Abstract

fetched live from OpenAlex

Approximately 5% of patients with sarcoidosis will have clinically manifest cardiac involvement presenting with one or more of ventricular arrhythmias, conduction abnormalities, and heart failure. Cardiac presentations can be the first (and/or an unrecognized) manifestation of sarcoidosis in a variety of circumstances. Cardiac symptoms are usually dominant over extra-cardiac as most patients with clinically manifest disease have minimal extra-cardiac disease and up to two-thirds have isolated cardiac sarcoidosis (CS). It is estimated that another 20-25% of pulmonary/systemic sarcoidosis patients have asymptomatic cardiac involvement (clinically silent disease). The extent of left ventricular dysfunction seems to be the most important predictor of prognosis among patients with clinically manifest CS. In addition, the extent of myocardial late gadolinium enhancement is emerging as an important prognostic factor. The literature shows some controversy regarding outcomes for patients with clinically silent CS and larger studies are needed. Immunosuppression therapy (usually with corticosteroids) has been suggested for the treatment of clinically manifest CS despite minimal data supporting it. Fluorodeoxyglucose Positron Emission Tomography imaging is often used to detect active disease and guide immunosuppression. Patients with clinically manifest disease often need device therapy, typically with implantable cardioverter defibrillators.

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)0.001
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 score0.089
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.070
GPT teacher head0.343
Teacher spread0.273 · 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

Citations147
Published2016
Admission routes1
Has abstractyes

Explore more

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