Periodontal Diseases and their Surgical Management in Dogs
Bibliographic record
Abstract
The present retrospective surveillance (n = 48) and actual dental scaling (n = 20) work were conducted on dogs of either sex from 2 to 12 years in different breeds with periodontal diseases (PD) presented to the VCC, Junagadh. Among the 48 retrospective cases, the higher incidence was recorded in dogs above 6 years of age (56.25 %) followed by 3-6 years (37.5 %) and less than 3 years of age (6.25 %), particularly affecting male dogs (70.83 %). Pomeranian/Spitz breed was affected the most (39.58 %, 19/48), followed by German shepherd (16.67 %), Labrador retriever (14.58 %), non-descript (14.58 %), and other 4 to 6%. The highest incidence of stage 4 PD was noticed in the dogs of > 6 years of age (53.84 %). Among 20 dogs of the current year, the major complaint was halitosis (70 %) and sticky salivation (55 %), followed by anorexia (35 %), pawing at mouth (20 %) and facial swelling (15 %). 11 out of 20 dogs (55 %) were maintained on a purely vegetarian diet and rest 9 (45 %) on veg and non-veg diet. Oral examination of dogs revealed a varying degree of dental plaque in all 20 cases (100 %), followed by dental calculus (85 %), gingival recession (45 %), gingival hyperplasia (30 %) and tooth fracture (15 %). Plaque index (PI) 2 was observed maximum in 11 (55 %) dogs, followed by PI 1 in 7 (35 %) and PI 3 in 2 (10 %) dogs. Dogs suffered maximum with CI 2 type calculus (45 %), followed by CI 1 (25 %) and CI 3 (20 %). Furcation of a varying degree was noticed only in 8 40% dogs out of 20, which was classified as FE 1 in 4 (20 %), followed by FE 3 and FE 2 in 2 cases each (10 %). In 13 out of 20 dogs, periodontal probing depth was less than 3 mm, whereas it was 4 mm and > 5 mm in 4 (20 %) and 3 (15 %) dogs, respectively. Most effective dental scaling could be performed under diazepam-ketamine general anesthesia by using an ultrasonic piezo scaler tip at a 45° angle to the tooth surface for removal of calculus.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".