A retrospective study on frequency of canine tumors at the Veterinary Teaching Hospital in Rabat (Morocco)
Bibliographic record
Abstract
This work is a contribution to the study of tumors in dogs at the Veterinary Teaching Hospital of the Hassan II Agronomic and Veterinary Medicine Institute in Rabat, Morocco. The study aimed to present a summary of the relative frequency of tumors in dogs, their preferred localization and the influence of age, sex and breed. During the study period from 2004 to 2017, a total of 3099 records were consulted, among them 166 cases of tumors in dogs were diagnosed in both sexes, male and female, whose ages were between 3 months to 15 years. Tumors in dogs have a frequency of approximately 5.4% over the entire canine disease diagnosed at the Veterinary Teaching Hospital. The average age group of onset of these tumors are middle-aged dogs of 7-12 years (65.7%). The German shepherd (30.7%), Poodle (22.9%), Labrador (10.2%), Rottweiler (5.4%) and Pekinese (3.6%) would be more prone to tumors. The most common tumors originated from the mammary gland (46.4%) and the skin and subcutis (25.9%). To our knowledge, there was no study like this one considering canine tumors in Morocco. Therefore, this study provides an important preliminary step to characterize and understand the occurrence of canine tumors in Rabat region. Keywords: Tumor, dog, frequency, sex, age, breed, Morocco
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".