Generalities in canine papillomavirus: systematic review of case reports
Bibliographic record
Abstract
Canine papillomavirus (CPV) is a common entity in dogs that can be transmitted by direct and indirect contact and cause lesions in various parts of the body. It is the main cause of benign tumors; however, if not detected in time, it is a risk factor for the development of squamous cell carcinoma, documented with high mortality. To clarify demographic generalities, location of lesions, and findings involved in CPV detection, a systematic review of case reports of CPV was performed. The PRISMA statement was followed. Literature was searched in PubMed, DOAJ, and CAB Abstracts from 2011 to date. The articles collected were tabulated in Excel with the variables of interest. A total of 54 articles were obtained from the search, and 11 were included in the review after the screening and selection process. The analysis of the information allowed us to identify that among the case reports there were 4 investigations with male dogs, 2 females and 5 unspecified. Age ranged from 2 to 12 years. The breed with more cases reported was the Labrador retriever and 6 reported cases with neutered patients. Regarding the location of the lesions, the most common was the oral cavity, and the main findings were the need to identify new subtypes of CPV, and the development of lesions at lower CD4 and CD8 lymphocyte counts. Further research, encouragement of veterinary medical personnel, and dissemination of CPVrelated literature are needed to make this pathology visible and initiate future public health actions.
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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 | 0.004 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.022 | 0.021 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".