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Record W2615805033 · doi:10.1177/154431671303700403

Description of a Phenomenon Resembling Spontaneous Echocardiographic Contrast in the Venous System

2013· article· en· W2615805033 on OpenAlexaff
Gerry Cartman, Helene Trachemontagne, Marie-Claire Yelle, Cherrie Z. Abraham

Bibliographic record

VenueJournal for Vascular Ultrasound · 2013
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineThrombusCardiologyAtrial fibrillationVenous thrombosisInternal medicineThrombosisVenous stasisEchogenicityRadiologyUltrasound

Abstract

fetched live from OpenAlex

Introduction. —According to Beppu et al., spontaneous echocardiographic contrast (SEC or smoke) is a pattern of “spontaneous swirling echoes originally visualized by transthoracic echocardiography in the enlarged left atrium of patients with mitral stenosis” (J Am Cardiol 1985;6:744–749). It has since been primarily associated with atrial fibrillation and flutter. The clinical significance of SEC is its association with left atrial thrombus, increased thromboembolic complications, and death. The pathogenesis of SEC seems to involve Rouleau formation between red cells and fibrinogen at low shear rates, which is an in vitro equivalent of blood stasis. Black noted that “Red cell aggregation, manifested as SEC, appears to be a precursor to thrombosis. Left atrial thrombi are rich in fibrin and red cells, resembling venous more than arterial thrombi” (Echocardiography 2000;17(4):373–382). Methods. —If left atrial thrombi are associated with SEC and resemble venous thrombi, it was hypothesized that actual venous thrombi in previously undescribed locations, most notably deep vein thrombosis, may equally be associated with SEC. We asked our coauthors (H.T. and M-C.Y.) to search for such a phenomenon among patients referred to the vascular laboratory for suspected venous thrombosis. Case Presentation. —In the following case series, we report an original phenomenon of swirling echogenicity in the venous system that we believe is SEC. The phenomenon was fairly rare (maximum 1.5% of referred patients, whereas deep venous thrombosis itself was 15-20%). The clinical significance of this phenomenon is discussed.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.681
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.254
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 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

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