Focused assessment with sonography in nontraumatized dogs and cats in the emergency and critical care setting
Bibliographic record
Abstract
OBJECTIVE: To evaluate the use of abdominal- and thoracic-focused assessment with sonography for trauma (AFAST and TFAST) in nontraumatized dogs and cats in the emergency and critical care setting and to compare prevalence of free fluid identified via these techniques between stable and unstable patients. DESIGN: Prospective observational study. SETTING: University Distributed Veterinary Learning Community. ANIMALS: One hundred client-owned dogs and cats presenting to an emergency service with no evidence of trauma. INTERVENTIONS: AFAST and TFAST performed within 12 hours of presentation. MEASUREMENT AND MAIN RESULTS: Free fluid was identified on AFAST or TFAST in 33% of dogs and cats in this study. Free fluid was identified in 27 of 36 (75%) cardiovascularly unstable or dyspneic patients, compared to 6 of 64 (9%) stable patients. A significantly greater proportion of unstable patients had free fluid compared to stable patients (P < 0.0001). CONCLUSIONS: Results of this study support the use of AFAST and TFAST to detect free fluid in nontraumatized dogs and cats in the emergency and critical care setting, particularly patients that are unstable on presentation.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".