Salmon Poisoning Disease in Dogs: 29 Cases
Bibliographic record
Abstract
BACKGROUND: Salmon poisoning disease (SPD) is a trematode-borne disease of dogs caused by Neorickettsia helminthoeca. OBJECTIVES: To determine risk factors and spatial epidemiology of SPD in dogs from northern California; to describe the clinicopathologic, microbiologic, and imaging findings of SPD in these dogs; and to evaluate treatments and outcomes for SPD. ANIMALS: Twenty-nine dogs with SPD based on the finding of trematode ova in the feces, or organisms consistent with N. helminthoeca in specimens submitted for microscopic examination. METHODS: Information regarding signalment, fish exposure, clinical signs, diagnostic evaluation, treatments, and outcomes was obtained for each dog. Archived lymph node aspirates and histopathology specimens were subjected to polymerase chain reaction (PCR) testing for Neorickettsia spp. RESULTS: Labrador Retrievers and intact male dogs were overrepresented. Exposure locations were often distant from the dogs' residence. Some dogs had neurologic signs, including twitching and seizures. Dogs lacking peripheral lymphadenomegaly had abdominal lymphadenomegaly on ultrasound examination. A combination of centrifugation fecal flotation and sedimentation had greatest sensitivity for finding fluke ova. N. helminthoeca DNA was amplified by PCR from 4/10 dogs. Penicillins, cephalosporins, and chloramphenicol did not appear to be effective treatments. Mortality rate was 4/29 (14%). CONCLUSIONS AND CLINICAL IMPORTANCE: SPD should be suspected in dogs with inappetence, gastrointestinal, or neurologic signs, with or without fever or peripheral lymphadenomegaly in the appropriate geographical setting. Diagnosis is facilitated by a combination of fecal sedimentation and centrifugal flotation, abdominal ultrasonography, and PCR-based assays on lymphoid tissue. The treatment of choice is tetracycline antimicrobials.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".