<i>Dioctophyme renale</i> (giant kidney worm) in a dog: A review of a parasitic disease requiring surgical treatment
Bibliographic record
Abstract
Abstract Infection with the nematode Dioctophyme renale (giant kidney worm) in dogs and other mammals occurs following the ingestion of an aquatic host containing the infective larvae. This parasitic disease has no known effective pharmaceutical treatment. This case report describes a 7‐month‐old, entire, female Husky with a 2‐month history of haematuria and intermittent vomiting. An abdominal ultrasound examination and microscopic finding of eggs of D. renale in urine sediment helped to establish the diagnosis. The affected right kidney and retroperitoneal worms were removed by exploratory celiotomy. The sonographic features of the worms and a comprehensive review of the latest literature, suggesting future research topics on early serological diagnosis, medical treatment options and the most recent nephron‐sparing nephrotomy techniques (via nephroscopy or laparoscopy), are discussed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".