MétaCan
Menu
Back to cohort
Record W2903406081 · doi:10.1097/paf.0000000000000445

Embolization of Endocardial Vegetation With Stroke Presentation

2018· article· en· W2903406081 on OpenAlexaff
George W. Birsic, James W. Fulcher, Steven E. Fiester

Bibliographic record

VenueAmerican Journal of Forensic Medicine & Pathology · 2018
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMedicinePatent foramen ovaleEmbolizationStroke (engine)EndocarditisAutopsyCause of deathCardiologyThrombusWeaknessMyocardial infarctionInternal medicineDiseaseSurgeryPercutaneous

Abstract

fetched live from OpenAlex

This case report details the unique cause of death of a 37-year-old Caucasian woman with a history significant for intravenous drug abuse. Before her death, she complained of extremity weakness and pain. Although her death was discovered to be the result of endocarditis, her symptoms were similar to that of a stroke. Autopsy revealed a large endocardial vegetation infecting both the tricuspid and mitral valves and a patent foramen ovale. The subsequent embolization of this vegetation caused blockages in the lungs, liver, and brain. An acute embolization of these vegetations to the bilateral middle cerebral arteries is the cause of the stroke presentation. Other comorbidities, such as cardiomegaly, microscopic evidence of myocardial infarction, and atherosclerotic disease, also contributed to the cause of death. As the opioid crisis continues in the United States, it is important to review cases involving the effects of drug use. The multiple interactions between endocarditis and the aforementioned conditions are documented to not only serve as references for future autopsies but also for the treatment of patients who have similar symptoms and comorbidities.

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)0.003
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.293
Teacher spread0.283 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Forensic Medicine & PathologySame topicInfective Endocarditis Diagnosis and ManagementFrench-language works237,207