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Myocardial perforation by a stick foreign body in a dog

2008· article· en· W2154946192 on OpenAlexaboutno aff
Augusta Pelosi, J. G. Hauptman, George E. Eyster, Matthew W. Beal, Lorel K. Anderson, N. Bari Olivier

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2008
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThoracotomyForeign bodyPericardiumIntracardiac injectionVentricleThoracic cavitySternumPerforationSurgeryPericardial cavityCardiology

Abstract

fetched live from OpenAlex

Abstract Objective: To report a case of myocardial perforation by a stick foreign body in a dog. Case Summary: A 3‐year‐old castrated male Labrador Retriever was examined because of a puncture wound seen after an unsupervised run in the woods. The wound was suspected to penetrate into the thoracic cavity on the basis of physical exam and radiographs. Uniform ventricular premature complexes (VPCs) and junctional beats were noted on electrocardiogram (ECG). Thoracotomy was performed and a 6‐cm wooden stick was seen protruding from the right ventricle through the pericardium toward the sternum. The stick was removed while purse string sutures were tied around the resultant myocardial defect. Follow‐up echocardiography revealed intact intracardiac structures. VPCs were treated with lidocaine and resolved completely within 24 hours of presentation. New or Unique Information Provided: Thoracic trauma can result in myocardial injury; penetration into the myocardium represents a life‐threatening situation for the emergency clinician. Cardiac injury should be included in the differential diagnoses of penetrating thoracic foreign bodies.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.044
GPT teacher head0.339
Teacher spread0.295 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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