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Record W1931472067 · doi:10.1520/jfs14981j

Post-Traumatic Left Ventricular False Aneurysm

2001· article· en· W1931472067 on OpenAlexaff
John P. Veinot, Vasudeva Acharya

Bibliographic record

VenueJournal of Forensic Sciences · 2001
Typearticle
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineAneurysmCardiologyInternal medicineMedical emergencyRadiology

Abstract

fetched live from OpenAlex

Most false aneurysms of the heart represent contained ventricular free wall ruptures after myocardial infarction. Post-traumatic aneurysms also may follow penetrating or non-penetrating trauma to the chest. Regardless of the origin of the false aneurysm there is a propensity for aneurysm rupture. We report a patient who developed a false aneurysm of her left ventricle that developed post-motor vehicle accident. Her orthopedic problems were the clinical problems identified and after a hospital admission of 10 days she was discharged home. Four weeks later she died suddenly from anterior left ventricle false aneurysm rupture and tamponaide. Patients with significant chest wall trauma should be assessed for cardiac pathology prior to discharge. Presentation may be delayed and be overshadowed by more evident pathology. Trauma-related aneurysms may cause sudden death, and this may occur some later time after the trauma. Attributing the cause of death to the trauma, which may be remote, is important for the forensic investigator to remember.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.279
Teacher spread0.262 · 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

Citations6
Published2001
Admission routes1
Has abstractyes

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