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Record W1574230460 · doi:10.1111/vec.12094

Acquired Gerbode defect and third‐degree atrioventricular block secondary to vehicular trauma in a dog

2013· article· en· W1574230460 on OpenAlexaboutno aff
Suzanne M. Cunningham, Kathleen J. Lindsey, John E. Rush

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2013
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Conditions and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrioventricular blockFurosemideHeart failureEnalaprilCardiologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe a case of traumatically acquired left ventricular to right atrial communication (Gerbode defect), atrial septal defect (ASD), and third-degree atrioventricular block (AVB) necessitating permanent pacemaker placement in a dog. CASE SUMMARY: A 1.5-year-old neutered male Newfoundland dog was struck by a car and was referred for further evaluation and treatment of hemoabdomen. Persistent third-degree AVB, a right-sided cardiac murmur and right-sided congestive heart failure (CHF) were identified, and echocardiographic examination revealed a type-A Gerbode defect and ASD. Pimobendan, furosemide, and enalapril therapies were initiated for treatment of CHF. Persistent AVB eventually necessitated permanent pacemaker implantation. Initial attempts at minimally invasive occlusion of the Gerbode defect were unsuccessful; however the dog continues to do well clinically on chronic cardiac medications. NEW OR UNIQUE INFORMATION PROVIDED: To our knowledge, an acquired Gerbode defect secondary to trauma with associated ASD, CHF, and third-degree AVB necessitating permanent pacemaker therapy have not yet been reported in the veterinary literature. The extended survival and follow-up available on this patient postpacemaker implantation also documents that longer term survival is possible with this defect.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.539

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 head0.028
GPT teacher head0.310
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 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

Citations15
Published2013
Admission routes1
Has abstractyes

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