Acquired Gerbode defect and third‐degree atrioventricular block secondary to vehicular trauma in a dog
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".