Idiopathic pericardial effusion in 2 year old labrador managed with ultrasound-guided pericardiocentesis: Case report
Bibliographic record
Abstract
A two-year old, 38kg-wt male Labrador was presented for management because of progressive exercise intolerance. At presentation, rectal temperature was 38.5°C, pulse rate was 135 beats per minute (but weak). There was ascites along with oedema of the extremities. The heart sound was muffled and pulsus paradoxus was very mild. The patient was well hydrated. Thoracic radiography revealed a globoid shaped heart occupying most of the equatorial thoracic volume; there was loss of details of cardiac silhouette and there was dorsal deviation of trachea at carina. Ultrasonography revealed a distinct epicardium, pericardium and a very wide anechoic space in between. Blood picture was within normal findings. Idiopathic chronic pericardial effusion was diagnosed. Ultrasound-guided pericardiocentesis was carried out using a 16 gauge over the needle catheter attached to a 3-way stopcock and a 20mls syringe; about 65mls of clear effusate was aspirated. Laboratory analysis of the effusate revealed that it was a transudate. The patient was placed on 3mg/kg furosemide, twice daily for 5 days and the patient returned to gradual exercise during hospitalization. Oedema of the extremities and ascities decreased, the appetite improved and the dog became more active. Thoracic radiography fourth week post pericardiocentesis revealed a normal cardiac silhouette. The cause of pericardial effusion was not known.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".