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Record W2901980417 · doi:10.22374/cjgim.v13i4.268

Tumour Emboli Causing Multifocal Ischemic Stroke from Intracardiac Malignant Solitary Fibrous Tumour

2018· article· en· W2901980417 on OpenAlexaffvenue
Lindsay Melvin, Nicole Sitzer, Rebecca Amer

Bibliographic record

VenueCanadian Journal of General Internal Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicSoft tissue tumor case studies
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineIntracardiac injectionTransesophageal echocardiogramAutopsyRadiologyEchogenicityStroke (engine)DiplopiaLeft main bronchusSurgeryInternal medicineBronchoscopy

Abstract

fetched live from OpenAlex

A 78-year-old woman presented to the emergency department with gait ataxia and diplopia. Her past medical history included the surgical resection of a phyllodes breast tumour 8 years prior, with no known recurrence. A computed tomography (CT) scan of the brain demonstrated multifocal right supratentorial hemispheric subacute infarcts in the frontoparietal, posterior temporal and occipital regions. The patient developed recurrent generalized seizures in hospital. Transesophageal echocardiogram demonstrated a large 2.7 × 1.8 × 0.8 cm mobile echogenic mass attached to the left posterior atrial wall. CT angiogram of the chest revealed the left atrial mass as well as a mass encasing the right bronchus intermedius. The patient opted for comfort care and passed away in hospital. Autopsy revealed the tumour to be a primary cardiac solitary fibrous tumour. We present a case of multifocal ischemic stroke and seizures secondary to tumour emboli originating from intracardiac solitary fibrous tumour.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.282
Teacher spread0.260 · 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 designBench or experimental
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
Published2018
Admission routes2
Has abstractyes

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