Echocardiographic findings and clinical signs in dairy cows with primary cardiac lymphoma: 7 cases (2007–2010)
Bibliographic record
Abstract
OBJECTIVE: To describe echocardiographic and clinical findings in cattle with cardiac manifestation of lymphoma. DESIGN: Retrospective case series. ANIMALS: 7 adult Holstein dairy cows with cardiac lymphoma. PROCEDURES: Medical and necropsy records of all cows that underwent transthoracic echocardiography from January 2007 through April 2010 because of clinical signs of cardiac diseases or bovine lymphoma were reviewed. The diagnosis of cardiac manifestation of lymphoma was confirmed by necropsy examination or cytologic evaluation of pericardial fluid obtained by pericardiocentesis. RESULTS: Most commonly, cows had clinical signs of right-sided congestive heart failure secondary to cardiac tamponade with moderate to severe anechoic pericardial effusion (5/7 cows). In 2 cows, tachycardia was the only clinical sign in relation to cardiac disease and a heterogenic mass was observed protruding into the right atrium. CONCLUSIONS AND CLINICAL RELEVANCE: The use of transthoracic echocardiography aided in the diagnosis of primary cardiac lymphoma in cows. Transthoracic echocardiography may help to quantify the severity of pericardial effusion and to orient needle placement for pericardiocentesis to determine a final diagnosis. A mass within the right atrium was also suggestive of cardiac lymphoma and should be differentiated from mural bacterial endocarditis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".