MétaCan
Menu
← Back to cohort
Record W3045003886 · doi:10.7759/cureus.9354

Right Heart Thrombus in Transit Diagnosed With Focused Cardiac Ultrasound in the Emergency Department

2020· article· en· W3045003886 on OpenAlexaff
Eric J. Kalivoda, Kevin Rivera Rodriguez, Gabriel Cabrera

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsBrandon Regional Health Authority
Fundersnot available
KeywordsMedicineEmergency departmentThrombolysisThrombusPulmonary embolismRight heartTransit (satellite)Medical emergencyRadiologyCardiologyMyocardial infarction

Abstract

fetched live from OpenAlex

The diagnosis of a right heart thrombus (RHTh) in transit associated with pulmonary embolism (PE) is an uncommon phenomenon with a high mortality rate. Timely recognition of RHTh with focused cardiac ultrasound (FOCUS) in cases of suspected PE is necessary for critical decision making in the emergency department (ED). We present a case of RHTh with submassive PE in which the patient underwent successful catheter-directed thrombolysis. This case report illustrates the significance of an emergency physician (EP) implementing FOCUS during the initial ED evaluation to rapidly diagnose RHTh in transit and initiate PE therapy without delay.

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)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.259
Teacher spread0.239 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCureus→Same topicVenous Thromboembolism Diagnosis and Management→French-language works237,207→